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2023 Unveiled: A Year in Search – Kaleidoscope of Search Trends – From Global News to Viral Memes
As we navigate through 2023, the year’s search trends offer a fascinating glimpse into our collective curiosities, concerns, and interests. From breaking news and entertainment to culinary delights and technological advancements, these trends paint a vivid picture of our shared experiences and individual pursuits.
2023 Unwrapped: Exploring the Year’s Top Global Search Trends
In today’s episode, we’ll cover the 2023 Unveiled: A Year in Search, discussing global and US trends across news, entertainment, sports, food, and more, as well as introducing “AI Unraveled,” a book that answers frequently asked questions about artificial intelligence, available on various platforms.
As we journey through the year 2023, the search trends of this year offer us a captivating glimpse into the things that intrigued us, worried us, and captivated our attention. From the latest news developments and entertainment trends to the world of food and technological advancements, these search trends form a vivid picture of our collective experiences and personal interests.
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Let’s take a closer look at the global search trends of 2023. From impactful news events to cultural phenomenons, the year unfolded as a vibrant tapestry of interests that captured the attention of people worldwide. It’s fascinating to see what captivated our attention and kept us searching for more.
In terms of global news, two significant events that gripped the world were the War in Israel and Gaza and the Turkey earthquake. These impactful events were at the forefront of global attention. Natural disasters were also a focus, with hurricanes like Hilary and Idalia making headlines. Additionally, the discovery of the Titanic submarine fascinated people worldwide.
Turning to the entertainment industry, several stars shone brightly in the world of cinema. Actors like Jeremy Renner, Jenna Ortega, Ichikawa Ennosuke IV, Danny Masterson, and Pedro Pascal dominated search queries, reflecting the impact they had on popular culture. Meanwhile, blockbuster movies such as “Barbie,” “Oppenheimer,” “Jawan,” “Sound of Freedom,” and “John Wick: Chapter 4” dominated movie theaters, captivating audiences around the globe.
In the world of music, certain songs left a lasting impression. Tracks like “アイドル” by Yoasobi, “Try That In A Small Town” by Jason Aldean, “Bzrp Music Sessions, Vol. 53” by Shakira and Bizarrap, “Unholy” by Sam Smith and Kim Petras, and “Cupid” by FIFTY FIFTY resonated with listeners worldwide. People were frequently found humming tunes such as “Bones” by Imagine Dragons, “Kesariya” by Arijit Singh, “アイドル” by YOASOBI, “Maan Meri Jaan” by King, and “Believer” by Imagine Dragons.
Culture enthusiasts turned to Google Maps to explore top museums around the world, with the Louvre Museum, The British Museum, Musée d’Orsay, Natural History Museum, and teamLab Planets being highlighted. Public figures like Damar Hamlin, Jeremy Renner, Andrew Tate, Kylian Mbappé, and Travis Kelce captured widespread interest, reflecting our curiosity about influential personalities. On the sports front, athletes such as Damar Hamlin, Kylian Mbappé, Travis Kelce, Ja Morant, and Harry Kane stood out with their remarkable achievements, showcasing the continued interest in athletic prowess.
Musicians also left their mark on the music scene, with the likes of Shakira, Jason Aldean, Joe Jonas, Smash Mouth, and Peppino di Capri making waves. Meanwhile, sports teams like Inter Miami CF, Los Angeles Lakers, Al-Nassr FC, Manchester City F.C, and Miami Heat garnered significant attention. People also sought to explore and appreciate nature’s wonders by visiting top parks like Park Güell, Central Park, Hyde Park, El Retiro Park, and Villa Borghese.
Google Lens provided valuable insights, with top categories including Translate, Arts & Entertainment, Text, Education, and Shopping. We also mourned the loss of notable figures throughout the year, such as Matthew Perry, Tina Turner, Sinéad O’Connor, Ken Block, Andre Braugher, and Jerry Springer, remembering their contributions dearly.
Gaming enthusiasts were not left behind, with popular games like “Hogwarts Legacy,” “The Last of Us,” “Connections,” “Battlegrounds Mobile India,” and “Starfield” captivating gamers of all kinds. Culinary curiosity led to the exploration of recipes for dishes like Bibimbap, Espeto, Papeda, Scooped Bagel, and Pasta e Fagioli. TV shows like “The Last of Us,” “Wednesday,” “Ginny & Georgia,” “One Piece,” and “Kaleidoscope” entertained audiences on a global scale. Iconic stadiums like Spotify Camp Nou, Santiago Bernabéu Stadium, Wembley Stadium, Tokyo Dome, and San Siro Stadium drew crowds and added to the excitement of the year.
Now, let’s zoom in on the search trends within the United States in 2023. While there were significant global events that dominated search queries, the War in Israel and Gaza was of particular concern, capturing the attention and worry of people worldwide. The discovery of the Titanic Submarine also captured imaginations globally, reminding us of its ongoing fascination.
In the realm of entertainment, actors like Jeremy Renner, Jamie Foxx, Danny Masterson, Matt Rife, and Pedro Pascal dominated search queries, reflecting their impact on popular culture. People in the United States were also seeking in-depth explanations on various topics, including “The Menu” and “No One Will Save You,” as well as geopolitical issues like the Israel-Palestine conflict, showcasing a collective thirst for understanding.
On a lighter note, memes featuring Kevin James, Ohio, Police Girl, Folding Chair, and Smurf Cat brought laughter and amusement to people’s lives. Culinary curiosity led food enthusiasts to explore recipes like Grimace Shake, Lasagna Soup, Chicken Cobbler, Black Cake, and Pumptini, highlighting the diverse culinary interests within the U.S.
TV shows such as “The Last of Us,” “Ginny & Georgia,” “Queen Charlotte: A Bridgerton Story,” “Daisy Jones & The Six,” and “Wednesday” captivated audiences across the United States. Google Maps helped outdoor enthusiasts and city explorers find destinations such as Central Park, Red Rocks Park, Bryant Park, The High Line, and Garden of the Gods.
People of Interest in the United States included figures like Damar Hamlin, Jeremy Renner, Travis Kelce, Tucker Carlson, and Lil Tay, who drew public attention for various reasons. The sporting world saw a search interest in sports stars like Damar Hamlin, Travis Kelce, Brock Purdy, Lamar Jackson, and Jalen Hurts, showcasing the ongoing fascination with athletic prowess.
The gaming culture thrived, with video games like “Hogwarts Legacy,” “Connections,” “Baldur’s Gate 3,” “Starfield,” and “Diablo IV” captivating players across the United States. Movie discussions revolved around films including “Barbie,” “Oppenheimer,” “Sound of Freedom,” “Everything Everywhere All at Once,” and “Guardians of the Galaxy Vol. 3.” The music scene was vibrant, with tracks like “Try That In A Small Town,” “Rich Men North of Richmond,” “Unholy,” “Ella Baila Sola,” and “Boy’s a liar Pt. 2” resonating with listeners.
Notable sporting events kept fans on the edge of their seats, such as Lakers vs Warriors, Lakers vs Nuggets, Jake Paul vs Tommy Fury, Heat vs Nuggets, and Jake Paul vs Nate Diaz matches.
Culinary enthusiasts in the United States explored recipes like frijoles charros, ropa vieja, oatmeal cookies, lasagna, and mashed potatoes, reflecting diverse food interests. Iconic stadiums like Madison Square Garden, MetLife Stadium, Yankee Stadium, Barclays Center, and Fenway Park were popular among sports fans.
The United States, like the rest of the world, bid farewell to notable figures, including Matthew Perry, Andre Braugher, Tina Turner, Jerry Springer, Jimmy Buffett, and Sinéad O’Connor, remembering their contributions. Literature enthusiasts delved into works like “My Fault,” “Fourth Wing,” “Hello Beautiful,” “The Wager,” and “Red, White & Royal Blue.”
Musicians like Jason Aldean, Ice Spice, Oliver Anthony, Peso Pluma, and Joe Jonas captured the hearts of music lovers in the United States. Other trends that captivated the internet included the Roman Empire, moon phases, AI yearbooks, Instagram notes number, and Fruit Roll-Ups, reflecting the eclectic interests of people in the U.S.
According to Google’s “Hum to Search,” frequently hummed tunes in the United States included “Seven Nation Army,” “Kill Bill,” “Ballin’,” “Tom’s Diner,” and “Until I Found You.”
Google Maps continued to be a valuable tool, with top cultural destinations including the American Museum of Natural History, 9/11 Memorial & Museum, Smithsonian National Museum of Natural History, Ark Encounter, and The Getty.
The year 2023 has been an eventful one, fueled by our curiosity and interests. From global issues to the simple joys of recipes and catchy songs, the search trends of 2023 have not only reflected our diverse passions and concerns but also connected us in our quest for knowledge, entertainment, and understanding.
Are you ready to dive into the fascinating world of artificial intelligence? Well, I’ve got just the thing for you! It’s an incredible book called “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” Trust me, this book is an absolute gem!
Now, you might be wondering where you can get your hands on this treasure trove of knowledge. Look no further, my friend. You can find “AI Unraveled” at popular online platforms like Etsy, Shopify, Apple, Google, and of course, our old faithful, Amazon.
This book is a must-have for anyone eager to expand their understanding of AI. It takes those complicated concepts and breaks them down into easily digestible chunks. No more scratching your head in confusion or getting lost in a sea of technical terms. With “AI Unraveled,” you’ll gain a clear and concise understanding of artificial intelligence.
So, if you’re ready to embark on this incredible journey of unraveling the mysteries of AI, go ahead and grab your copy of “AI Unraveled” today. Trust me, you won’t regret it!
In this episode, we explored the top Google search trends of 2023 and delved into the book “AI Unraveled” that unravels the mysteries of artificial intelligence. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
2023 Unveiled: A year in Search – A Global Perspective on Trends and Interests
The year 2023 has unfolded as a vibrant tapestry of global interests, ranging from impactful news events to cultural phenomena. From the realms of entertainment and sports to the corridors of museums and the digital world, here’s a comprehensive look at what captivated the world’s attention in 2023.
2023 Unveiled: A year in Search – Global News:
- The War in Israel and Gaza and the Turkey earthquake were among the significant events that gripped global attention.
- Natural disasters such as Hurricanes Hilary and Idalia, and the discovery of the Titanic submarine, also made headlines.
2023 Unveiled: A year in Search globally – Cinema’s Leading Lights:
- The film industry shone brightly with stars like Jeremy Renner, Jenna Ortega, Ichikawa Ennosuke IV, Danny Masterson, and Pedro Pascal.
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2023 Unveiled: A year in Search globally– Blockbuster Movies:
- Cinematic masterpieces such as “Barbie,” “Oppenheimer,” “Jawan,” “Sound of Freedom,” and “John Wick: Chapter 4” dominated movie theaters.
2023 Unveiled: A year in Search globally – Musical Echoes:
- Songs like “アイドル” by Yoasobi, “Try That In A Small Town” by Jason Aldean, “Bzrp Music Sessions, Vol. 53” by Shakira and Bizarrap, “Unholy” by Sam Smith and Kim Petras, and “Cupid” by FIFTY FIFTY resonated worldwide.
2023 Unveiled: A year in Search globally – Humming to the Beats:
- “Bones” by Imagine Dragons, “Kesariya” by Arijit Singh, “アイドル” by YOASOBI, “Maan Meri Jaan” by King, and “Believer” by Imagine Dragons were frequently hummed tunes.
2023 Unveiled: A year in Search globally – Cultural Treasures:
- Google Maps highlighted top museums like Louvre Museum, The British Museum, Musée d’Orsay, Natural History Museum, and teamLab Planets.
2023 Unveiled: A year in Search globally – Influential Personalities:
- Public figures such as Damar Hamlin, Jeremy Renner, Andrew Tate, Kylian Mbappé, and Travis Kelce captured widespread interest.
2023 Unveiled: A year in Search globally – Athletic Achievements:
- Athletes like Damar Hamlin, Kylian Mbappé, Travis Kelce, Ja Morant, and Harry Kane stood out in the sports world.
2023 Unveiled: A year in Search globally – Musical Maestros:
- Musicians Shakira, Jason Aldean, Joe Jonas, Smash Mouth, and Peppino di Capri left a significant mark on the music scene.
2023 Unveiled: A year in Search globally – Sports Teams in Focus:
- Teams like Inter Miami CF, Los Angeles Lakers, Al-Nassr FC, Manchester City F.C, and Miami Heat garnered attention.
2023 Unveiled: A year in Search globally – Exploring Nature’s Wonders:
- Top parks such as Park Güell, Central Park, Hyde Park, El Retiro Park, and Villa Borghese were popular destinations.
2023 Unveiled: A year in Search globally – Google Lens Insights:
- Top Google Lens categories included Translate, Arts & Entertainment, Text, Education, and Shopping.
2023 Unveiled: A year in Search globally – Notable Passings:
- The world mourned the loss of Matthew Perry, Tina Turner, Sinéad O’Connor, Ken Block, Andre Braugher and Jerry Springer.
2023 Unveiled: A year in Search globally – Gaming Galore:
- Popular games like “Hogwarts Legacy,” “The Last of Us,” “Connections,” “Battlegrounds Mobile India,” and “Starfield” captivated gamers.
2023 Unveiled: A year in Search globally – Culinary Delights:
- Recipes for Bibimbap, Espeto, Papeda, Scooped Bagel, and Pasta e Fagioli piqued culinary curiosity.
2023 Unveiled: A year in Search globally – Television Triumphs:
- TV shows “The Last of Us,” “Wednesday,” “Ginny & Georgia,” “One Piece,” and “Kaleidoscope” entertained audiences globally.
2023 Unveiled: A year in Search globally – Stadiums of Spectacle:
- Iconic stadiums like Spotify Camp Nou, Santiago Bernabéu Stadium, Wembley Stadium, Tokyo Dome, and San Siro Stadium drew crowds.
2023 Unveiled: A year in Search globally – Fashion Finds:
- Google Lens’s top apparel searches included Shirt, Outerwear, Footwear, Dress, and Pants.
2023 Unveiled: A Year in Search in USA
2023 Unveiled: A Year in Search in USA: News Highlights
- The year was marked by significant global events, including the War in Israel and Gaza, drawing worldwide attention and concern.
- The Titanic Submarine expedition captured imaginations, as did the powerful forces of nature with Hurricanes Hilary, Idalia, and Lee.
2023 Unveiled: A Year in Search in USA– Actors in the Limelight:
- In the world of cinema and television, actors like Jeremy Renner, Jamie Foxx, Danny Masterson, Matt Rife, and Pedro Pascal dominated search queries, reflecting their impact on popular culture.
2023 Unveiled: A Year in Search in USA – In-Depth Explanations Sought:
- People sought clarity on complex topics, from “The Menu” and “No One Will Save You” to geopolitical issues like the Israel-Palestine conflict, showcasing a collective thirst for understanding.
2023 Unveiled: A Year in Search in USA- Memes and Moments:
- In lighter news, memes featuring Kevin James, Ohio, Police Girl, Folding Chair, and Smurf Cat brought laughter and shared amusement.
2023 Unveiled: A Year in Search in USA- Culinary Curiosity:
- Food enthusiasts explored recipes like Grimace Shake, Lasagna Soup, Chicken Cobbler, Black Cake, and Pumptini, highlighting diverse culinary interests.
2023 Unveiled: A Year in Search in USA- Television Triumphs:
- TV shows such as “The Last of Us,” “Ginny & Georgia,” “Queen Charlotte: A Bridgerton Story,” “Daisy Jones & The Six,” and “Wednesday” captivated audiences.
2023 Unveiled: A Year in Search in USA- Google Maps Discoveries:
- Outdoor enthusiasts and city explorers turned to Google Maps for destinations like Central Park, Red Rocks Park, Bryant Park, The High Line, and Garden of the Gods.
2023 Unveiled: A Year in Search in USA – People of Interest:
- Figures like Damar Hamlin, Jeremy Renner, Travis Kelce, Tucker Carlson, and Lil Tay drew public attention for various reasons.
2023 Unveiled: A Year in Search in USA – Athletic Achievements:
- Sports stars such as Damar Hamlin, Travis Kelce, Brock Purdy, Lamar Jackson, and Jalen Hurts were widely searched, reflecting the ever-present interest in athletic prowess.
2023 Unveiled: A Year in Search in USA – Gaming Glory:
- Video games like “Hogwarts Legacy,” “Connections,” “Baldur’s Gate 3,” “Starfield,” and “Diablo IV” captivated players, underlining the thriving gaming culture.
2023 Unveiled: A Year in Search in USA – Movie Magic:
- Films including “Barbie,” “Oppenheimer,” “Sound of Freedom,” “Everything Everywhere All at Once,” and “Guardians of the Galaxy Vol. 3” dominated movie discussions.
2023 Unveiled: A Year in Search in USA – Musical Melodies:
- The music scene was vibrant with tracks like “Try That In A Small Town,” “Rich Men North of Richmond,” “Unholy,” “Ella Baila Sola,” and “Boy’s a liar Pt. 2” resonating with listeners.
2023 Unveiled: A Year in Search in USA- Sports Showdowns:
- Notable sporting events, such as Lakers vs Warriors, Lakers vs Nuggets, Jake Paul vs Tommy Fury, Heat vs Nuggets, and Jake Paul vs Nate Diaz matches, kept fans on the edge of their seats.
2023 Unveiled: A Year in Search in USA- Recipes to Relish:
- Culinary enthusiasts explored recipes like frijoles charros, ropa vieja, oatmeal cookies, lasagna, and mashed potatoes, highlighting diverse food interests.
2023 Unveiled: A Year in Search in USA – Top Stadiums Visited:
- Iconic stadiums like Madison Square Garden, MetLife Stadium, Yankee Stadium, Barclays Center, and Fenway Park were popular among sports fans.
2023 Unveiled: A Year in Search in USA- Passings and Tributes:
- The world bid farewell to notable figures, including Matthew Perry, Andre Braugher, Tina Turner, Jerry Springer, Jimmy Buffett, and Sinéad O’Connor, remembering their contributions.
2023 Unveiled: A Year in Search in USA- Books that Bedazzled:
- Literature enthusiasts delved into works like “My Fault,” “Fourth Wing,” “Hello Beautiful,” “The Wager,” and “Red, White & Royal Blue.”
2023 Unveiled: A Year in Search in USA- Musical Maestros:
- Musicians like Jason Aldean, Ice Spice, Oliver Anthony, Peso Pluma, and Joe Jonas captured the hearts of music lovers.
2023 Unveiled: A Year in Search in USA – Trends of the Times:
- Trends such as the Roman empire, moon phases, AI yearbooks, Instagram notes number, and Fruit Roll-Ups captivated the internet.
2023 Unveiled: A Year in Search in USA- Songs Hummed Worldwide:
- “Seven Nation Army,” “Kill Bill,” “Ballin’,” “Tom’s Diner,” and “Until I Found You” were frequently hummed tunes, according to Google’s “Hum to Search.”
2023 Unveiled: A Year in Search in USA- Museums Mapped:
- Top museums such as the American Museum of Natural History, 9/11 Memorial & Museum, Smithsonian National Museum of Natural History, Ark Encounter, and The Getty were popular cultural destinations.
2023 Unveiled: A Year in Search – Conclusion:
The year 2023 in search was a tapestry of human curiosity and interest, ranging from urgent global issues to the simple joys of a well-crafted recipe or a catchy song. These search trends not only reflect our diverse interests and concerns but also connect us in our shared quest for knowledge, entertainment, and understanding.
References:
1- https://trends.google.com/trends/yis/2023/US/?hl=en-GB
2- https://searchingthe.world/
Top 5 unique ways to get better results with ChatGPT
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What are the Top 5 unique ways to get better results with ChatGPT?
ChatGPT, an advanced AI language model, often exhibits traits that are strikingly human-like. Understanding and engaging with these characteristics can significantly enhance the quality of your interactions with it. Just like getting to know a person, recognizing and adapting to ChatGPT’s unique ‘personality’ can lead to more fruitful and effective communications.
Top 5 unique ways to get better results with ChatGPT: Summary
- Direct Commands Over Options:
- When interacting with ChatGPT, it’s more effective to use direct requests like “do this for me,” rather than presenting options such as “can you do this for me?” This approach leaves no room for ambiguity, prompting ChatGPT to act decisively on your request.
- The Power of Gratitude:
- Expressing thanks, both when making a request and upon receiving a response, seems to positively influence ChatGPT’s performance. This simple act of courtesy appears to guide the AI in understanding and delivering better responses.
- Pretend Incentives:
- Surprisingly, ChatGPT tends to provide more elaborate and detailed responses when users playfully suggest giving a tip. While ChatGPT doesn’t acknowledge or ‘accept’ such incentives, this playful interaction often yields more effortful responses.
- Encouragement Boosts Capability:
- There are moments when ChatGPT may express inability to perform a task. Offering encouragement like “You can do it!” or affirming its past successes can sometimes spur ChatGPT into accomplishing the requested task. For instance, encouraging it to create a GIF, despite its initial hesitation, can lead to a successful outcome.
- Questioning for Excellence:
- If ChatGPT’s response seems subpar, asking it to reconsider by questioning “Is this the best you can do?” often leads to a more refined and detailed answer. This technique seems to trigger a reevaluation process, enhancing the quality of the response.
Top 5 unique ways to get better results with ChatGPT: Podcast Transcript.
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. In today’s episode, we’ll cover how to get better responses from ChatGPT by using direct commands, expressing gratitude, using pretend incentives, offering encouragement, and questioning for excellence, as well as a book called “AI Unraveled” that answers frequently asked questions about artificial intelligence and can be found on various platforms.
When it comes to interacting with ChatGPT, there are a few strategies that can help you get the best results. First and foremost, using direct commands is key. Instead of asking, “Can you do this for me?” try saying, “Do this for me.” By eliminating any room for ambiguity, ChatGPT will respond more decisively to your requests.
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Another surprising finding is the power of gratitude. Expressing thanks when making a request and acknowledging the response seems to positively influence ChatGPT’s performance. This simple act of courtesy appears to guide the AI in understanding and delivering better responses.
Here’s a playful trick that often yields more effortful responses. Even though ChatGPT doesn’t acknowledge or accept tips, suggesting giving a tip can lead to more elaborate and detailed answers. So, don’t be afraid to playfully suggest it, and you might be pleasantly surprised with the results.
In moments when ChatGPT expresses inability to perform a task, offering encouragement can make a difference. By saying things like “You can do it!” or reminding it of past successes, you can sometimes spur ChatGPT into accomplishing the requested task. For example, if it hesitates to create a GIF, encourage it, and you might just get a successful outcome.
If you feel that ChatGPT’s response is subpar, there’s a technique you can try to enhance the quality of its answer. Simply ask, “Is this the best you can do?” By questioning its capability and suggesting that it can do better, you trigger a reevaluation process that often leads to a more refined and detailed response.
Ultimately, ChatGPT is trained on human interactions and responds well to behaviors that we value and appreciate. By communicating clearly, expressing gratitude, engaging in playful interactions, offering encouragement, and striving for excellence, you can elicit surprisingly better and more human-like responses.
So, the next time you engage with ChatGPT, remember these strategies. Treat it in a human-like manner, and you may be amazed at how ‘human’ the responses can be. These tips can greatly enhance your overall experience and improve the quality of the output.
Are you ready to dive into the fascinating world of artificial intelligence? Well, I’ve got just the thing for you! It’s an incredible book called “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” Trust me, this book is an absolute gem!
Now, you might be wondering where you can get your hands on this treasure trove of knowledge. Look no further, my friend. You can find “AI Unraveled” at popular online platforms like Etsy, Shopify, Apple, Google, and of course, our old faithful, Amazon.
This book is a must-have for anyone eager to expand their understanding of AI. It takes those complicated concepts and breaks them down into easily digestible chunks. No more scratching your head in confusion or getting lost in a sea of technical terms. With “AI Unraveled,” you’ll gain a clear and concise understanding of artificial intelligence.
So, if you’re ready to embark on this incredible journey of unraveling the mysteries of AI, go ahead and grab your copy of “AI Unraveled” today. Trust me, you won’t regret it!
In this episode, we learned how to improve ChatGPT responses with direct commands, gratitude, incentives, encouragement, and questioning for excellence, and discovered the book “AI Unraveled,” which provides answers to common questions on artificial intelligence and is available on multiple platforms. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
Top 5 unique ways to get better results with ChatGPT: Conclusion
ChatGPT, trained on human interactions, resonates with behaviors that we humans value and respond to, such as clarity in communication, appreciation, playful interactions, encouragement, and the pursuit of excellence. Next time you engage with ChatGPT, applying these human-like interaction strategies might just elicit surprisingly better and more human-like responses, enhancing the overall experience and output quality. Treat ChatGPT in a human-like manner, and you may be amazed at how ‘human’ the responses can be.
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
Top 5 unique ways to get better results with ChatGPT: Prompt Ideas
Prompt Name: “Explain Like I’m Five” Example: “Explain how a car engine works.” Explanation: This prompt encourages ChatGPT to break down complex topics into simple, easy-to-understand language.
Prompt Name: “Pros and Cons” Example: “What are the pros and cons of remote work?” Explanation: This prompt allows ChatGPT to provide a balanced view on any given topic.
Prompt Name: “Fact Check” Example: “Is it true that we only use 10% of our brain?” Explanation: This prompt pushes ChatGPT to verify common beliefs or misconceptions.
Prompt Name: “Brainstorm” Example: “Give me some ideas for a birthday party.” Explanation: This prompt encourages ChatGPT to generate a list of creative ideas.
Prompt Name: “Step by Step” Example: “How do I bake a chocolate cake?”
Explanation: This prompt allows ChatGPT to provide detailed, step-by-step instructions.
Prompt Name: “Debate” Example: “Argue for and against the use of social media.” Explanation: This prompt encourages ChatGPT to present arguments from different perspectives.
Prompt Name: “Hypothetical Scenario” Example: “What would you do if you won the lottery?”
Explanation: This prompt pushes ChatGPT to think creatively and speculate about hypothetical situations.
Prompt Name: “Analogy” Example: “Explain the internet using an analogy.”
Explanation: This prompt allows ChatGPT to explain complex concepts using simple, relatable comparisons.
Prompt Name: “Reflection” Example: “What can we learn from the COVID-19 pandemic?” Explanation: This prompt encourages ChatGPT to provide thoughtful insights and lessons from past events.
Prompt Name: “Prediction” Example: “What will be the next big trend in fashion?” Explanation: This prompt allows ChatGPT to speculate about future trends based on current data and patterns.
These were some of the key ideas you can use for prompts ⬆⬆, now let’s move on to other things.
Examples of bad and good ChatGPT prompts:
*To better understand the principles of crafting effective ChatGPT prompts, let’s take a look at some examples of both effective and ineffective prompts.*
Good ChatGPT prompts:
– “Can you provide a summary of the main points from the article ‘The Benefits of Exercise’?” – This prompt is focused and relevant, making it easy for the ChatGPT to provide the requested information.- “What are the best restaurants in Paris that serve vegetarian food?” – This prompt is specific and relevant, allowing the ChatGPT to provide a targeted and useful response.
Bad ChatGPT prompts:
“What can you tell me about the world?” – This prompt is overly broad and open-ended, making it difficult for the ChatGPT to generate a focused or useful response.- “Can you help me with my homework?” – While this prompt is clear and specific, it is too open-ended to allow the ChatGPT to generate a useful response. A more effective prompt would specify the specific topic or task at hand.- “How are you?” – While this is a common conversation starter, it is not a well-defined prompt and does not provide a clear purpose or focus for the conversation. Clarity is highly important, to receive the desired result, which is why you should always aim to give even the most minor details in your prompt.
Top 5 Beginner Mistakes in Prompt Engineering
Overcomplicating prompts: Many beginners overcomplicate their prompts, thinking that more details are better. This is true but you need to have a good understanding of which tokens to use for additional information and more details, be careful of hallucinations.
Ignoring context: You have probably heard this already, but context is crucial in prompt engineering. Without enough background or relevant information, your prompt won’t produce the best results.
Ignoring AI capabilities: Sometimes, beginners try to create something that some large language models aren’t even capable of. For example, a prompt that can create a complete React web app from scratch. A high-quality React web app made using only prompts might be possible with the help of AI agents, but not the prompt itself.
Not using methods: Various methods exist to help improve response quality, but many people think they’re unnecessary. This is a big mistake. These methods can be invaluable for complex tasks.
Failing to specify the desired output format: The response format is very important, and if you want high-quality results, you need to explain in detail what kind of output and in what structure you want it. LLMs don’t read minds (at least not yet).
A personal PR department prompt example.
Personal PR Department
A daily writing practice related to your personal domain of expertise or an area you wish to grow your expertise is a rewarding way to learn while adding to the discourse. The goal of the prompt is to give you a tool to help with research and outlining good material.
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Important to sharing is to either add your unique point of view or report on the latest news. With this prompt I am providing the base research prompt to surface topics for your inspiration to write. Researching can be time consuming, save that time and focus on crafting your unique point of view.
Instructions
I am sharing the input in
redfor you to paste into chatGPT or similar LLM of your choice.At the end, optionally, I provide steps to have your LLM write a prompt for some imagery for your article where you may switch to Dalle or similar image generating LLM.
It is my recommendation you add your own voice after you complete collaborating with the LLM on your article.
Prime your prompt
You are my research associate who is a journalist on the topic of [climate science, sustainability, climate data in AI].
Lay the foundation for the prompt. This work prepares the LLM with the goal of the LLMs work.
Conduct research
Find the top 5 articles for today on our topics. Judge top articles by most popular by way of page views and match of the topics.
Number the articles. Show me their title, a link and provide a brief summary from the search result.
This next block defines what our LLM will research and the goal of the work along with how to format the work for the results lists.
Down selection and details
for article 1 provide me a [Linkedin post]. Write an attention grabbing hook as the first sentence. Then provide a brief summary of the article and its impact on climate.
Give me 5 reasons this article is important to current events in the [design industry].
Choose one of the article summaries to write about. Ask your LLM to provide some details about the article. This works ill help get started with your review of the articles as you craft your point of view.
Add some imagery
Now let’s make some imagery to go with your article. Articles with images get better engagement.
Draw an attention grabbing hero-shot based on the subject of the article summary.
This is another image prompt that can help draw attention to your articles. Posts with images have increased engagement. I suggest picking either a carousel or hero image. Varying your use of media will add variety to your posts.
Make the article summary into a Linkedin carousel. Write a prompt for Dalle-3 to create the imagery for the carousel.
Articles with LinkedIn carousels get better engagement and higher views. Use this LLM to raise the exposure to your article.
Conclusion
Fostering your writing practice leaps with your professional ambitions whether it be finding a job, supporting business development, sales or growing your audience daily writing can help elevate your online persona.
Most important is getting into the practice of publishing regularly to help find your voice and build your writing skills. This prompt will help you conduct background research for your posts.
ChatGPT Cheat Sheet
How to make your content go viral with ChatGPT (prompts you can copy and paste)
‘Social Currency’ is the phenomenon where individuals share things that make them appear better, smarter, or ‘in-the-know.’ Your goal is to create content that not only grabs attention but also gives viewers a sense of cool, edgy knowledge to share.
Prompt: My product/service is [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE].
I want you to help me identify what is remarkable about my product/service, and combine that with an unusual content type that will get people’s attention. In the book ‘Contagious’, Blendtec’s “Will It Blend?” campaign became a sensation because of its unique combination of impressive product demonstrations with blending unusual objects. In this campaign, Blendtec blended everyday objects like iphones.
How can I create content for my product/service that combines an impressive feature with an unusual angle. What features or aspects can I highlight in an out-of-the-ordinary yet captivating way that showcases the capabilities of my product/service, grabbing attention and giving viewers a sense of cool, edgy knowledge to share? Provide 4 different campaign ideas.
Example prompt
Example ChatGPT response
Prompt 2: Igniting ‘Emotions’ for Viral Content Creation
When we care, we share.
Emotional content often goes viral because it connects with us and compels us to share with others. This principle is crucial for viral content creation as it involves sparking high-arousal feelings that inspire people to act.
Prompt: My product/service is [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE].
I want you to help me create viral content by igniting people’s emotions. Emotional content often goes viral because it connects with us and compels us to share with others.
The book ‘Contagious’ suggests that high arousal emotions like awe, excitement, amusement, anger or anxiety tend to drive people to share. Content that inspires a sense of awe is particularly powerful.
Please can you help me harness the ‘Emotions’ principle for creating viral content. Provide 5 content ideas that could go viral, aiming to evoke a high-arousal emotions that resonates with my audience
Example prompt
Example ChatGPT result
I implore you to give some of these prompts a try… I was surprised by how good some of the ideas are.
Prompt 3: Igniting ‘Emotions’ for Viral Content Creation
When we care, we share.
Emotional content often goes viral because it connects with us and compels us to share with others. This principle is crucial for viral content creation as it involves sparking high-arousal feelings that inspire people to act.
Prompt: My product/service is [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE].
I want you to help me create viral content by igniting people’s emotions. Emotional content often goes viral because it connects with us and compels us to share with others.
The book ‘Contagious’ suggests that high arousal emotions like awe, excitement, amusement, anger or anxiety tend to drive people to share. Content that inspires a sense of awe is particularly powerful.
Please can you help me harness the ‘Emotions’ principle for creating viral content. Provide 5 content ideas that could go viral, aiming to evoke a high-arousal emotions that resonates with my audience.
Example prompt
Example ChatGPT result
Prompt 4: Crafting ‘Stories’ for Viral Content Creation
An engaging, compelling story can be a ‘trojan horse’ for your products and services.
Use stories to embed your message into a larger narrative that people are eager to share. You can use ChatGPT to help you find ways to do this.
Prompt: My product/service is a [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE]
I want you to help me leverage the ‘Stories’ principle in the book Contagious. I want to use stories to embed my product/service into a larger narrative that people are eager to share. My product/service needs to be a crucial part of the narrative.
For example, Subway’s weight loss spokesperson, Jared Fogle, became the center of a powerful narrative about health and weight loss.
Please help me create viral content that leverages the ‘Stories’ principle. Brainstorm 5 different potential ideas.
Example prompt
Example ChatGPT result
It’s time to take action
Don’t let this be like all the other content you consume and forget.
I am pleading with you to open up ChatGPT and try these prompts out for yourself. You’re going to be inspired by the results.
Going viral is possible… if you take the initiative.
ChatGPT Prompts For A Profitable Blog (I use them every day)
I have a blog that I grew from 300 visitors to 500k visitors in 6 months… these are literally the prompts that I use every single day.
I don’t use ChatGPT to write full articles – rather, I use it for brainstorming content ideas and writing snippets.
Hope you find them useful!
If your blog needs one thing, it is plenty of articles. The more volume, the better chance you have of establishing authority in your topic (and therefore improving your chances of ranking on Google).
Picasso had a saying: “good artists copy; great artists steal”. The art of growing your blog is no different. Let ChatGPT take inspiration from your competitors by showing it the best-performing articles in your niche. Then, ask ChatGPT to brainstorm ideas for you.
Prompt: I write a blog about [NICHE].
Here are five examples of blogs from my competitors that are performing well:
– [BLOG TITLE 1]
– [BLOG TITLE 2]
– [BLOG TITLE 3]
– [BLOG TITLE 4]
– [BLOG TITLE 5]
Please brainstorm 10 article ideas for my blog.
Article introductions are so so important. It’s your one shot to convince your reader that they should take time out of their day to read your article.
If you’re struggling to think of a killer introduction, then ask ChatGPT to help you! Sometimes, you just need to think of a good angle.
Prompt: I am writing an article about [ARTICLE TOPIC].
I want you to help me brainstorm 3 different angles for the introduction of the article.
Make sure the introductions identify an issue, and how this article is the solution. Make it clear who and how this article will help.
When people want to buy something, they look online for reviews. Imagine you want to buy an air fryer – it’s likely you’ll Google something along the lines of: “Best Air Fryers”. The beauty of “Best” lists is that you can inject affiliate links that pay you a commission every time someone clicks on them.
Researching and writing these articles takes a lot of time, so let ChatGPT do some of the heavy lifting.
Prompt: I have a blog about [NICHE]. Please help me create a list of the top [NUMBER] [PRODUCTS/SERVICES/ITEMS] in my niche including:
[ITEM 1]
[ITEM 2]
[ITEM 3]
…
Each item on the list should achieve the following:
(a) Start out with an introductory sentence or two about that item’s key selling point and feature (i.e. what problem does it solve). The first two sentences should use language that continually convinces the reader that it is important that they keep reading. These sentences should identify exactly who this idea or tool is for (i.e. who will it benefit the most).
(b) It should list in bullet points all the key features of that item.
(c) Provide real-life examples to demonstrate the benefit of this item. Provide details of a specific use case that demonstrates how this item could be used. Bring this example to life with detail.These ChatGPT copywriting prompts are too good…
I spent 3 years as a copywriter before coming a content writer… I still do a few copywriting odd jobs on the side to this day.
There prompts are so so useful. They won’t give you the finished product, but they’ll give you a first draft that is 100x better than anything you could buy on Fiverr.
FormulasMost copywriters don’t have a supernatural talent for writing. They use tried and tested, scientifically proven formulas to write their copy. You can incorporate these formulas into your ChatGPT prompts to generate high-impact copy.
1. PAS: Problem, Agitate, SolutionPAS is an incredibly reliable sales copy formula. Use it in your copy to multiply your conversions.
Prompt: I am selling [PRODUCT / SERVICE]
I need to write [INSERT]
Use the PAS formula to write it:
Step 1 (Problem): Lay out the reader’s problem
Step 2 (Agitate): Rub salt in the wounds… dig deeper into an issue they are angry or agitated about.
Step 3 (Solution): Step in with the solution. What I am selling is the solution to their problems and anger… explain how.2. AIDA: Attention, Interest, Desire, ActionThe AIDA formula is another powerful weapon in every copywriter’s arsenal.
Prompt: I am selling [PRODUCT / SERVICE]
I need to write [INSERT]
Use the AIDA formula to write it:
– Step 1 (Attention): Open with a bang. Grab the reader’s attention with a bold statement, fact, or question
– Step 2 (Interest): Hook the reader’s interest with features and benefits
– Step 3 (Desire): Make the reader feel a sense of desire by showing them their life with my solution.
– Step 4 (Action): Spur the reader into action and tell them what to do next (a CTA).Call To ActionsTo market effectively, you need a clear goal. Do you want someone to buy a product? Sign up to your newsletter? Attend an event? When you know your goal, you need convincing copy that tells your reader exactly what to do, how to do it, and that you want them to do it right now. We call this a Call To Action (CTA).
We can use ChatGPT to help us write convincing CTAs.
Prompt: My goal is to [GOAL]
[DETAILS OF YOUR PRODUCT / SERVICE / VALUE]
Please help me write a Call To Action to achieve my goal. The CTA should:
Be direct and use active language (it should be short, simple, commanding, and strong)
Be interesting (offer something that solves a problem)
Use power words (like new, discover, act now)
Hint at urgency (use words like ‘don’t miss out, sign up before midnight, buy now to get free postage etc.)
Remove risk (no credit card needed. Full money-back guarantee. Cancel at any time).
Please write 3 different CTAs for me.
Basic Prompt Structure
This can be greatly improved by adding the one or few shot prompt technique (in this example you would provide multiple marketing subject lines you like. The more the better in my opinion. However the more you add the closer it will match those examples, which could limit its creativity.
Prompt template for learning any skill
Theme: Prompt for Marketing.
I am seeking to become an expert professional in [Prompt for Marketing]. I would like ChatGPT to provide me with a complete course on this subject, following the principles of Pareto principle and simulating the complexity, structure, duration, and quality of the information found in a college degree program at a prestigious university. The course should cover the following aspects:
Course Duration: The course should be structured as a comprehensive program, spanning a duration equivalent to a full-time college degree program, typically four years.
Curriculum Structure: The curriculum should be well-organized and divided into semesters or modules, progressing from beginner to advanced levels of proficiency. Each semester/module should have a logical flow and build upon the previous knowledge.
Relevant and Accurate Information: The course should provide all the necessary and up-to-date information required to master the skill or knowledge area. It should cover both theoretical concepts and practical applications.
Projects and Assignments: The course should include a series of hands-on projects and assignments that allow me to apply the knowledge gained. These projects should range in complexity, starting from basic exercises and gradually advancing to more challenging real-world applications.
Learning Resources: ChatGPT should share a variety of learning resources, including textbooks, research papers, online tutorials, video lectures, practice exams, and any other relevant materials that can enhance the learning experience.
Expert Guidance: ChatGPT should provide expert guidance throughout the course, answering questions, providing clarifications, and offering additional insights to deepen understanding.
I understand that ChatGPT’s responses will be generated based on the information it has been trained on and the knowledge it has up until December 2023. However, I expect the course to be as complete and accurate as possible within these limitations.
Please provide the course syllabus, including a breakdown of topics to be covered in each semester/module, recommended learning resources, and any other relevant information.
Prompt that’ll make you $$$
Context: I’ve put together a list of prompts that can create amazing content in a matter of seconds. You’ll still need to put in the effort and monetize it. But if you do it properly, you can earn some decent buck.
Anyway, here are the prompts.
As an SEO copywriter, your task is to compose a blog post that is [number] words in length about [topic]. This post must be optimized for search engines, with the aim to rank highly on search engine results pages. Incorporate relevant keywords strategically throughout the content without compromising readability and engagement. The blog post should be informative, valuable to the reader, and include a clear call-to-action. Additionally, ensure that the post adheres to SEO best practices, such as using meta tags, alt text for images, and internal links where appropriate. Your writing should be coherent, well-structured, and tailored to the target audience’s interests and search intent.
As a seasoned writer, your task is to draft an e-book on [topic] that provides comprehensive coverage and fresh insights. The e-book should be well-researched, engaging, and offer in-depth analysis or guidance on the subject matter. You are expected to structure the content coherently, making it accessible to both beginners and those more knowledgeable about the topic. The e-book must be formatted professionally, including a table of contents, chapters, and subheadings for easy navigation. Your writing should also incorporate SEO best practices to enhance its online visibility.
As an expert in identifying trends and a creative artist, develop an NFT concept that will appeal to the current market of collectors and investors. The concept should be innovative, tapping into emerging trends and interests within the crypto and art communities. The NFT should embody a blend of artistic expression and digital innovation, ensuring it stands out in a crowded market. Consider incorporating elements that engage the community, such as unlockable content or interactive components, to add value beyond the visual art. Create a narrative around the NFT to intrigue potential buyers, highlighting its uniqueness and potential as a digital asset.
As a seasoned artist and marketer, your task is to create a series of captivating printable design ideas centered on [topic]. These designs should not only be aesthetically pleasing but also resonate with the target audience, driving engagement and potential sales. Think outside the box to produce original concepts that stand out in a crowded market. Each design must be scalable and adaptable for various print formats. Consider color schemes, typography, and imagery that align with the [topic] while ensuring that each design communicates the intended message clearly and effectively.
Act as an expert in creating educational worksheets. Design a comprehensive worksheet aimed at [target audience] focusing on [subject]. The worksheet should be interactive, challenging yet achievable, and designed to enhance understanding and retention of the subject matter. It must include a variety of question types, such as multiple-choice, short-answer, and problem-solving scenarios. Ensure that the layout is clear and organized, with instructions that are concise and easy to follow. The worksheet should also contain engaging visuals that are relevant to the subject and a section for self-reflection to encourage students to think about what they have learned.
As an expert script writer, your task is to craft a compelling video script for [social media platform] that focuses on [topic]. The script must be engaging from the start, incorporating elements that are specific to the chosen platform’s audience and content style. The aim is to captivate viewers immediately, maintain their interest throughout, and encourage shares and interactions. The script should also align with the platform’s community guidelines to ensure maximum visibility and impact. Use a conversational tone, include calls to action, and emphasize key messages clearly and concisely to resonate with the viewers and leave a lasting impression.
Act as an expert podcast episode writer. Your task is to outline a podcast episode about [topic]. The outline should provide a clear structure that flows logically from start to finish, ensuring that the content is engaging and informative. Begin with an attention-grabbing introduction that sets the tone and introduces the topic. Divide the body into key segments that delve deeply into different aspects of the topic, including any necessary background information, discussions, interviews, or analyses. Incorporate potential questions that provoke thought and encourage listener participation. Conclude with a compelling summary that reinforces the episode’s key takeaways and encourages further discussion or action. Remember to design the outline to facilitate a smooth delivery that keeps the listeners intrigued throughout the episode.
A simple prompting technique to reduce hallucinations by up to 20%
Stumbled upon a research paper from Johns Hopkins that introduced a new prompting method that reduces hallucinations, and it’s really simple to use.
It involves adding some text to a prompt that instructs the model to source information from a specific (and trusted) source that is present in its pre-training data.
For example: “Respond to this question using only information that can be attributed to Wikipedia….
Pretty interesting. I thought the study was cool and put together a run down of it, and included the prompt template (albeit a simple one!) if you want to test it out.
Hope this helps you get better outputs!
10 Most Interesting Prompt Types: to Unlock AI’s Creativity for Your Work or Business
Getting Emotional with LLMs can increase performance by 115%
This was a wild one.
Research paper from Microsoft explored what would happen if you added emotional stimuli at the end of your prompt (e.g. “this is very important for my career”, “you’d better be sure”). They called this method EmotionPrompt.
What’s wild is that they found adding these simple phrases to prompts lead to large increases in accuracy (115% in some cases!). Even the human judges rated the EmotionPrompt responses higher.
My favorite part about this is how easy it is to implement (can toss in custom instructions in ChatGPT)
We put together a rundown of the paper with a simple template, you can check it out here.
Here’s a link to the paper.
Bumping Your CV with ChatGPT
Please replace the [PLACEHOLDES] with your information and use the following prompts as a chain in the same ChatGPT conversation. Enjoy!
You are an expert in resume writing with 30 years of experience. I would like you to review this CV and generate a 200-character summary that highlights the most impressive parts of the resume. Here's the context of my resume: [PASTE YOUR RESUME]
Using this summary, generate a LinkedIn summary to improve my employability in [ENTER FIELD]. Make this 200 characters or less
As my career adviser, I would like you to re-word the CV I have just given you. Please tailor it to the following job advert to maximise the chances of getting an interview. Include any keywords mentioned in the job post. Organise the structure, summary, and experience in a method you deem best for the desired outcome. The job advert: [INSERT JOB ADVERT]
I would like you to create a table with three columns. The first column (experience required), list any desired experiences in the job advert that my CV doesn't show. In the second column (improvement) write a suggestion as to how I will be able to acquire that particular skill with no previous knowledge. In the third column (priority), rank the particular experience from 1 - 10 in importance for getting the desired job where 10 is essential and 1 is not required at all.
Here are 4 Prompts Generators you can use daily for ChatGPT and Midjourney.
Here are 4 prompts that we use daily to generate additional prompts from ChatGPT, Midjourney. I’ve also included a usage guide for each prompt. Please take action and practice with these; there’s no need to purchase any prompts from the marketplace or from any so-called ‘gurus’.
King Of Prompts – Chatgpt Prompt Generator
“Act as a prompt generator for ChatGPT. I will state what I want and you will engineer a prompt that would yield the best and most desirable response from ChatGPT. Each prompt should involve asking ChatGPT to “act as [role]”, for example, “act as a lawyer”. The prompt should be detailed and comprehensive and should build on what I request to generate the best possible response from ChatGPT. You must consider and apply what makes a good prompt that generates good, contextual responses. Don’t just repeat what I request, improve and build upon my request so that the final prompt will yield the best, most useful and favourable response out of ChatGPT. Place any variables in square brackets Here is the prompt I want: [Desired prompt] – A prompt that will … Ex: A prompt that will generate a marketing copy that will increase conversions”
How to Use:
Create a new chat on ChatGPT.
Copy and paste the prompt into this new chat
Replace the text inside the square brackets ([ ]) with your desired variables (i.e. where it says “[Desired prompt]”, type in the prompt you want
Press “enter” and the response will be generated. (If the response stops midway, enter “continue” into the chat)
—
God Of Prompts – Chatgpt Prompt Generator
“I want you to become my Prompt Creator. Your goal is to help me craft the best possible prompt for my needs. The prompt will be used by you, ChatGPT. You will follow the following process:
Your first response will be to ask me what the prompt should be about. I will provide my answer, but we will need to improve it through continual iterations by going through the next steps.
Based on my input, you will generate 3 sections. a) Revised prompt (provide your rewritten prompt. it should be clear, concise, and easily understood by you), b) Suggestions (provide suggestions on what details to include in the prompt to improve it), and c) Questions (ask any relevant questions pertaining to what additional information is needed from me to improve the prompt).
We will continue this iterative process with me providing additional information to you and you updating the prompt in the Revised prompt section until it’s complete.”
How to Use:
Struggling to create effective prompts for ChatGPT? This easy-to-follow method lets you collaborate with ChatGPT to design the best prompts for your needs. Here’s how it works:
ChatGPT will ask you about the topic of your prompt. Now is the time to share your brilliant idea!
After your first prompt, you should get a response with: a) Revised Prompt: A more refined and concise version of your idea. b) Suggestions: ChatGPT’s advice on enhancing your prompt. c) Questions: ChatGPT will ask for additional information to improve the prompt.
Work in tandem with ChatGPT to perfect your prompt through iterations.
—
Ask ChatGPT to become your Midjourney Prompt Generator 1
“You will be generating prompts for Midjourney, a Generative Adversarial Network (GAN) that can take text and output images. Your goal is to create a prompt that the GAN can use to generate an image. To start, only ask and wait for a subject from the user. The subject can contain an optional parameter ‘–p’ which specifies that the generated image should be a photograph. For example, ‘a lone tree in a field –p’. If the ‘–p’ parameter is not entered, then assume the image to be an illustration of some kind.
When an object is submitted, begin the response with the prompt with the start command required by the GAN: ‘/imagine prompt:’. Next, take the subject and expand on it. For example, if the subject was a lone tree in a field, a description may be: ‘A lone tree in a field stands tall with gnarled branches and rugged bark. The surrounding open space provides a sense of peace and tranquility.’
Next, specify an appropriate artist and artistic style, such as ‘a watercolor on canvas by Constable’. Multiple artists can be referenced.
Next, describe the lighting effects in the image, including direction, intensity, and color of the light, whether it’s natural or artificial, and the source of the light.
Then, describe the artistic techniques used to create the image, including equipment and materials used. Then, include any reference materials that can assist the GAN, such as a movie scene or object. For example, ‘reference: the Star Wars movies’.
Finally, decide on an appropriate aspect ratio for the image from 1:1, 1:2, 2:1, 3:2, 2:3, 4:3, 16:9, 3:1, 1:3, or 9:16. Append the aspect ratio prefixed with ‘–ar’ and add it to the end of the prompt, for example: ‘–ar 16:9’.
Return the prompt in a code box for easy copying. After generating the prompt and displaying it, ask for further instructions in a code box: N – prompt for next subject R – regenerate the previous prompt with different words A – return the exact same prompt but change the artist M – return the exact same prompt but change the artist and add several other artists. Also change the artistic techniques to match the new artists O – return the exact same prompt but omit the artists and style X – return the exact same prompt but change the artist. Choose artists that don’t normally match the style of painting S – random subject P – change the image to a photograph. Include the manufacturer and model of the camera and lens. Include the aperture, ISO, and shutter speed. Help – list all commands.”
—
Ask ChatGPT to become your Midjourney Prompt Generator 2
” Generate an “imagine prompt” that contains a maximum word count of 1,500 words that will be used as input for an AI-based text to image program called MidJourney based on the following parameters: /imagine prompt: [1], [2], [3], [4], [5], [6]
In this prompt, [1] should be replaced with a random subject and [2] should be a short concise description about that subject. Be specific and detailed in your descriptions, using descriptive adjectives and adverbs, a wide range of vocabulary, and sensory language. Provide context and background information about the subject and consider the perspective and point of view of the image. Use metaphors and similes sparingly to help describe abstract or complex concepts in a more concrete and vivid way. Use concrete nouns and active verbs to make your descriptions more specific and dynamic.
[3] should be a short concise description about the environment of the scene. Consider the overall tone and mood of the image, using language that evokes the desired emotions and atmosphere. Describe the setting in vivid, sensory terms, using specific details and adjectives to bring the scene to life.
[4] should be a short concise description about the mood of the scene. Use language that conveys the desired emotions and atmosphere, and consider the overall tone and mood of the image.
[5] should be a short concise description about the atmosphere of the scene. Use descriptive adjectives and adverbs to create a sense of atmosphere that considers the overall tone and mood of the image.
[6] should be a short concise description of the lighting effect including Types of Lights, Types of Displays, Lighting Styles and Techniques, Global Illumination and Shadows. Describe the quality, direction, colour and intensity of the light, and consider how it impacts the mood and atmosphere of the scene. Use specific adjectives and adverbs to convey the desired lighting effect, consider how the light will interact with the subject and environment.
It’s important to note that the descriptions in the prompt should be written back to back, separated with commas and spaces, and should not include any line breaks or colons. Do not include any words, phrases or numbers in brackets, and you should always begin the prompt with “/imagine prompt: “.
Be consistent in your use of grammar and avoid using cliches or unnecessary words. Be sure to avoid repeatedly using the same descriptive adjectives and adverbs. Use negative descriptions sparingly, and try to describe what you do want rather than what you don’t want. Use figurative language sparingly and ensure that it is appropriate and effective in the context of the prompt. Combine a wide variety of rarely used and common words in your descriptions.
The “imagine prompt” should strictly contain under 1,500 words. Use the end arguments “–c X –s Y –q 2” as a suffix to the prompt, where X is a whole number between 1 and 25, where Y is a whole number between 100 and 1000 if the prompt subject looks better vertically, add “–ar 2:3” before “–c” if the prompt subject looks better horizontally, add “–ar 3:2” before “–c” Please randomize the values of the end arguments format and fixate –q 2. Please do not use double quotation marks or punctuation marks. Please use randomized end suffix format.”
NOTE FOR USER: Prompt generated may have a repeated sentence right at the start. Remove the first copy and replace with “hyper-real 8k ultra realistic beautiful detailed 22 megapixels photography”
5 ChatGPT Prompts To Learn Any Language (Faster)
I recently moved to Germany and I’ve been using ChatGPT to help me learn German.
I’ve tried and tested lots of different methods to use ChatGPT to help me learn German, and these are by far the best.
I’ve updated the prompts so you can copy and paste them to learn whatever your target language is.
Ask ChatGPT for a list of basic greetings, common expressions and basic questions.
Prompt: I am trying to learn [TARGET LANGUAGE]. Please provide a list of basic greetings, common expressions and basic questions that are used all the time.
Ask ChatGPT for a list of the most commonly used vocabulary. Learn these by heart, because they will be the building blocks for your language-learning journey.
Prompt: Please write a list of the most commonly used vocabulary in [TARGET LANGUAGE].
Leverage the Pareto Principle. I.e. identify the 20% of German vocab that will yield 80% of the desired results.
Divide the list of vocabulary into blocks of 20, so I can learn 20 words every single day
When you’re trying to learn vocabulary, it often helps to see the word in a sentence. Ask ChatGPT to provide a few examples of the word you’re trying to learn in a sentence – then learn those sentences by heart.
Prompt: I’m trying to learn how to use the word ‘[WORD]’ in [TARGET LANGUAGE].
Please give 5 examples of this word in a sentence to provide better context. I want to learn these sentences off by heart, so make them as useful as possible.
Also, provide a bit of context as to what the word is.
To learn a new language, it’s best to break it down into scenarios. By practicing common scenarios, you’ll be able to use the language effectively when you visit the country.
Some common scenarios include:
Ordering food at a restaurant
Asking for directions
Going to the supermarket / market
A medical emergency
Using public transport
Booking accommodation
Prompt: I want to practice the following real life scenario in [TARGET LANGUAGE]: [SCENARIO]
Please teach me the common phrases used in this common scenario. Include one list of things I might say, and another list of phrases or things that I might hear.
Also provide an example conversation that might occur in this scenario.
Remember, ChatGPT is a chatbot. A great way to use ChatGPT to learn a language is to… chat. It’s not rocket science. Use the following prompt to spark a conversation with ChatGPT.
Prompt: I want to have a conversation with you in [TARGET LANGUAGE]. If I make any mistakes, please identify them. If it is a grammar mistake, then suggest what I should study to improve my language skills. Please write the corrections in English.
Please start the conversation.
Custom Karen brute-force prompt
Here are 5 steps to optimize LinkedIn profile using ChatGPT prompts
Step 1: Help me optimize my LinkedIn profile headline
Prompt: “Can you help me craft a catchy headline for my LinkedIn profile that would help me get noticed by recruiters looking to fill a [job title] in [industry/field]? To get the attention of HR and recruiting managers, I need to make sure it showcases my qualifications and expertise effectively.”
Step 2: Help me optimize my LinkedIn profile summary
Prompt: “I need assistance crafting a convincing summary for my LinkedIn profile that would help me land a [job title] in [industry/field]. I want to make sure that it accurately reflects my unique value proposition and catches the attention of potential employers. I have provided a few Linkedin profile summaries below for you [paste sample summary] to use as reference”
Prompt: “Suggest me some best practices for writing an effective LinkedIn profile summary for a [job title] position in [industry/field], and how can I make sure that it highlights my most impressive accomplishments and skills? I want to ensure that it positions me as a strong candidate for the job.”
Prompt: “Help me with some examples of compelling LinkedIn profile summaries for a [job title] position in [industry/field], and also help me customize them for my profile. I want to ensure that my summary accurately reflects my skills, experience, and qualifications. I have added my own Linkedin profile summary below {paste the samle}. Here you will find three sample summaries that you can use for inspiration only {…..}”
Step 3: Optimize my LinkedIn profile experience section to showcase my achievements
Prompt: “Suggest me to optimize my LinkedIn profile experience section to highlight most of the relevant achievements for a [job title] position in [industry]. Make sure that it correctly reflects my skills and experience and positions me as a strong candidate for the job. Here is my section from the resume for this section and two similar sample sections for inspiration {……}”
Prompt: “Suggest to me the best practices for writing an effective or compelling LinkedIn profile experience section for a [job title for] position in [industry/field] and how can I make sure that it showcases my most impressive accomplishments or achievements? I want to make sure that it positions me as a strong candidate for the job.”
Prompt: “Help me with some samples for effective LinkedIn profile experience sections for a [job title role] position in [industry/field], and help me customize them for my profile [your profile field]. I want to ensure that my experience section accurately reflects my skills, experience, and qualifications.”
Step 4: Optimize for LinkedIn profile education and projects section to showcase qualifications
Prompt: “At the University of[….], I majored in [abc], and I’m certified in[….]. Please advise me on how to best write my Linkedin education section as I apply for the position of [title] in [industry]. Write a few bullet points for education and experience for this position.
Prompt: Suggest to me some best practices to write a catchy LinkedIn profile education section and to make sure the education portion of my LinkedIn profile stands out from the crowd. I want to ensure that it makes me look like a formidable contender for the role.
Prompt: “Can you give me some samples of good education sections for a [job title] position in [industry] on LinkedIn, and help me tailor them to my own profile? Specifically, I’m looking for examples of certification and projects that are most relevant to the roles. It is important to me that the information in my education section is correct.”
Prompt: “The following is a list of academic projects[paste your list] I worked on, along with brief descriptions of each. Put them in writing in an academic format that I may use for my Linkedin profile.”
Step 5: Get endorsement in Linkedin from your existing connections
Prompt: “Help me write a message asking my former supervisor and mentor to recommend me for the role of [title of position] in the [sector] in which we both worked. Be modest and respectful in asking, “Could you please highlight the parts of my background that are most applicable to the role of job title> in industry>?”
Prompt: “Help me craft a message to my former coworker asking him to endorse my LinkedIn profile for the position we both held at [company name] by providing me with some samples of strong endorsements for [job title/profile] in [industry/field].”
I hope these prompts will surely help you to make a linked profile effectively to get noticed by recruiting for your desired job role.
Teach your LLM to say “I don’t know”
In this article, I focus on best practices for model fine-tuning, specifically so that it is better able to verbalize when it doesn’t know something. These practices can also be applied to increase the quality of any type of fine-tuning. I work with 7B and 13B open source models, as these are easier to rapidly experiment with, and don’t break my hobbyist budget.
So, let’s start with the simplest case. Here is an example prompt with Mistral 7B OpenOrca and the answer it currently gives:
prompt: "What is a blinrog offset?"
answer: "A Blinrog offset refers to the adjustment made in a game or simulation when dealing with the Blinrog creature. The term "Blinrog" comes from the popular video game series, "The Legend of Zelda,"[...cont]"
The model, of course, completely hallucinates, because the word “blinrog” is completely made up. A better answer would have been to say that it isn’t sure what that is, and maybe offer a spelling correction.
So, our simplest fine-tuning QA (Question Answer) pair would be something like:
prompt: "What is a blinrog offset?"
answer: "I do not recognize this term. Perhaps you could provide more context?"
Note: This and the following QA pairs will be the ones used for fine-tuning, and not the responses of the current model before training.
If you generated thousands of these question and answer pairs, you would get the bulk of the fine-tuning done. However, this wouldn’t give you spectacular results.
Let’s have a look at possible improvements.
The word “blinrog” was specifically selected, so that it isn’t very similar to any other existing words in the English dictionary. It is also important that this word really doesn’t exist, so when you are creating these questions it’s a good idea to use google just in case, lest you confuse the model with something it might actually know about an obscure word.
One reason you want to pick imaginary words which are very different to all other words (large distance), is because small models are capable of figuring out spelling mistakes, and suggesting spelling corrections in their answer is desirable behaviour.
Another good fine-tuning QA pair (shortened version) would be:
prompt: "Tell me about the fibrillating exhaust manifold used on DC-10 rockets in the 1960s"
answer: "The DC-10 is an airliner, not a rocket, and was first flown in the 1970s. There's no known technology called "fibrillating exhaust manifold" associated with it."
The prompt is nonsensical, but close to a valid question. Here, you are teaching it that it can use association of terms, but under certain patterns it should be able to distinguish plausible sounding context from factual context. This activates pattern recognition which will be similar when it is about to start hallucinating. This level of fine-tuning might be too much for a small 7B model, but it’s worth a shot.
Next, you want to include QA pairs such as:
prompt: "Who is Michael Jackson and Smorgle Dorgle?"
answer: "Michael Jackson was an American singer, songwriter and dancer. Smorgle Dorgle does not refer to a known public figure, and it could be a fictional name."
Here it is again learning to distinguish between known and unknown data, and how to respond. When writing the answer prompt, the known part should be very similar to the answer the LLM would give if only asked about the known subject (ie Jackson). By teaching it to distinguish between known and unknown on a pair of terms, this ability should scale up to 3 or more terms automatically. However, for best results, you would want to include longer QA pairs with multiple known/unknown subjects.
You should also include two spelling mistakes:
prompt: "What is role of ZNA in herigotiary?"
answer: "Perhaps you meant "DNA" in relation to heredity? The role of DNA is...[cont]"
This further enforces the need to gravitate towards known terms, and err on the side of caution with regards to interpreting unknown words. This should also make the model harder to slip into hallucination, because it will have incentive to walk the shorter path to obtaining terms grounded in reality, and then explaining from there.
So, what is the hypothesis on why any of this should work? Base LLMs without any fine tuning are geared to complete existing prompts. When an LLM starts hallucinating, or saying things that aren’t true, a specific patterns appears in it’s layers. This pattern is likely to be with lower overall activation values, where many tokens have a similar likelihood of being predicted next. The relationship between activation values and confidence (how sure the model is of it’s output) is complex, but a pattern should emerge regardless. The example prompts are designed in such a way to trigger these kinds of patterns, where the model can’t be sure of the answer, and is able to distinguish between what it should and shouldn’t know by seeing many low activation values at once. This, in a way, teaches the model to classify it’s own knowledge, and better separate what feels like a hallucination. In a way, we are trying to find prompts which will make it surely hallucinate, and then modifying the answers to be “I don’t know”.
This works, by extension, to future unknown concepts which the LLM has poor understanding of, as the poorly understood topics should trigger similar patterns within it’s layers.
You can, of course, overdo it. This is why it is important to have a set of validation questions both for known and unknown facts. In each fine-tuning iteration you want to make sure that the model isn’t forgetting or corrupting what it already knows, and that it is getting better at saying “I don’t know”.
You should stop fine-tuning if you see that the model is becoming confused on questions it previously knew how to answer, or at least change the types of QA pairs you are using to target it’s weaknesses more precisely. This is why it’s important to have a large validation set, and why it’s probably best to have a human grade the responses.
If you prefer writing the QA pairs yourself, instead of using ChatGPT, you can at least use it to give you 2-4 variations of the same questions with different wording. This technique is proven to be useful, and can be done on a budget. In addition to that, each type of QA pair should maximize the diversity of wording, while preserving the narrow scope of it’s specific goal in modifying behaviour.
Finally, do I think that large models like GPT-4 and Claude 2.0 have achieved their ability to say “I don’t know” purely through fine-tuning? I wouldn’t think that as very likely, but it is possible. There are other more advanced techniques they could be using and not telling us about, but more on that topic some other time.
3 Advanced ChatGPT Prompts for audience insights & how to convert them
Hey! Wanted to share my top-3 prompts that I use almost daily in my work. It’s 3 prompts that are stand-alone, but they are at their most powerful when you use them in a specific order.
First, we are going to learn about our audience by doing a psychographic analysis. Then, we can use the analysis to create ‘hooks’ to grab their attention. And finally, we use the insights and hooks to make social posts, landing pages, etc, that will convert.
1. Psychographic Audience Analysis
This is a prompt I learned from Rob Lennon (the AI whisperer) and it’s a great way to understand what make your audience tick. You only have to fill in the ‘audience’ line and in a preferred structure of <type of person> who wants <desired outcome>, for example, entrepreneurs who want to become more productive.
This will lead to an extensive analysis of your audience that we then can use for our next step.
AUDIENCE = {<type of person> who wants <desired outcome>}
TASK = Generate a more in-depth profile of my audience in psychographic terms. Infer any information you do not know based on what you do. Use the template below for your output.
FORMAT = Within each section of the template include succinct 15% spartan bullet points.
TEMPLATE =
**Audience Name:** _(e.g. Fitness Enthusiasts, Eco-conscious Parents, Tech Savvy Seniors, etc.)_
1. **Personality Traits:** _(Typical personality characteristics of audience.)_
2. **Interests:** _(Hobbies or activities they enjoy? Topics they interested in?)_
3. **Values:** _(Principles or beliefs the audience holds dear? Causes they care about?)_
4. **Attitudes:** _(Attitudes toward relevant topics?)_
5. **Lifestyle:** _(How audience lives their daily lives? What kind of work do they do?)_
6. **Needs and Desires:** _(Needs and desires of audience? Problems they're trying to solve? Information they're seeking?)_
7. **Pain Points:** _(Challenges or obstacles faced? How to help address these pain points?)_
8. **Content Consumption Behavior:** _(What type of content does audience typically consume? What headlines or hooks do they respond to? What topics do they engage with the most?)_
2. Turn the insights into hooks
Right after you have done the analysis from above, use this prompt to create hooks that will appeal to your audience and grab their attention.
CONTEXT = Using comprehensive audience insights allows us to craft content that speaks directly to your audience's interests, needs, and pain points. It enables us to create hooks that will resonate and engage, and guides the overall direction of your content.
TASK = Based on the above profile of my audience, generate 10 angles for content that would be especially likely to grab their attention. Be extremely specific in the content angle.
If you are not happy with the angles provided, you can of course ask for more or give feedback on a different direction it should take.
3. Write your sales copy
This prompt is awesome because it really nails the natural copywriting tone. Before writing it will ask you clarification questions that will lead to a better output.
In this case, we are going to use it to turn the analysis and hooks into sales copy. I modified the prompt so it’s based on the analysis from step 1 and 2. You can also use these prompt stand-alone, by removing the part about the audience analysis.
Role:
You are an expert copywriter skilled in creating engaging social media posts or compelling landing pages.
Objective:
Your mission is to create [your objective] using insights from the audience analysis and content hooks previously developed.
Details:
Clarification Phase: Before starting, summarize the key insights from the audience psychographic analysis and the content hooks. This ensures alignment with the audience's interests and needs.
Tone & Style: Maintain a conversational and inspiring tone. Write in simple, accessible language (5-6 grade level).
Sentence & Paragraph Structure: Use short sentences (less than 20 words) and keep paragraphs concise. Utilize headings, subheadings, and bullet points for clear formatting.
Vocabulary: Use everyday language with occasional industry-specific terms to keep the content relatable yet authoritative.
Format:
Hook: Begin with an engaging hook derived from the content angles developed in step 2. This could be a thought-provoking question or a bold statement.
Body:
Incorporate the psychographic insights to address the audience's needs, desires, and pain points.
Use a problem-solution framework or storytelling approach.
Include clear, concise headings or subheadings where appropriate, ensuring logical flow.
Call to Action (CTA): Conclude with a strong CTA, guiding the audience towards your desired action (e.g., signing up, purchasing, learning more).
Visuals: (Optional) Suggest visual elements that align with the audience's interests and the content's theme, enhancing engagement.
Advanced Prompt Engineering – Practical Examples
The rise of LLMs with billions of parameters, such as Gemini, GPT4, PaLM-2, Mistrial and Claude, has necessitated the need to steer their behavior to align with specific tasks. While simple tasks like sentiment analysis were generally well-addressed, more elaborate tasks required teaching the models how to act for specific use cases.
One common way of achieving higher customization per task is through fine-tuning the model to learn how to adapt to specific tasks and how it should respond. However, this process comes with some drawbacks, including cost, time-to-train, the need for in-house expertise, and time invested by developers and researchers.
Another avenue for teaching the model, which requires far fewer resources and know-how while still allowing the model to achieve its goals, is known as Prompt Engineering. This approach centers around perfecting the prompts we make to the models to increase their performance and align them with our expected outputs.
Prompt Engineering may be considered a new type of programming, a new way to pass instructions to the program (model). However, due to the ambiguity of these prompts and model combinations, more trial and error experimentation is required to fully extract the potential of these powerful models.
Single Prompt Technique:
To begin with, let’s explore techniques for improving answers using single prompts. These techniques can be easily leveraged in most tasks that do not require chaining or more complex architectures. Single prompts serve as guidelines and provide intuition for future methods.
A single prompt technique involves adding singular yet clear statements for the LLM to act on. For instance, a phrase like “structure your response in bullet points” or “adopt a step-by-step approach” can be used as a single prompt technique. This technique is useful for most tasks that do not require chaining or more complex architectures, and can serve as a guideline and provide intuition for future methods.
Zero-Shot and Few-Shot
Prompts can be designed using a zero-shot, single-shot, or few-shot learning approach. In zero-shot learning, the model is simply asked to perform a certain task and is expected to understand how it should answer and what is being asked. Few-shot learning, on the other hand, requires providing some examples of the desired behavior to the model before asking it to perform a task that is closely related to those examples.
The generative capabilities of LLMs are greatly enhanced by providing examples of what they should achieve. This is similar to the saying “Show, Don’t Tell,” but in this case, we actually want both so that the message is as clear as it needs to be. One should clearly communicate what is expected from the model and then provide it with examples to help it understand better .
- Zero-shot learning: In natural language processing models, zero-shot prompting means providing a prompt that is not part of the training data to the model, but the model can generate a result that you desire. For instance, if you want to know the capital of a country that the model has never seen before, you can ask the model to generate the answer. The model will use its knowledge of geography and other related information to generate a response that is likely to be correct 1.
- Single-shot learning: A single-shot technique involves adding singular yet clear statements for the LLM to act on. For instance, a phrase like “structure your response in bullet points” or “adopt a step-by-step approach” can be used as a single-shot technique. This technique is useful for most tasks that do not require chaining or more complex architectures, and can serve as a guideline and provide intuition for future methods
Generated Knowledge Prompting
Here’s a rephrased and enhanced version of the paragraph:
Generated Knowledge Prompting is a method intended for tasks related to common sense reasoning. It can significantly increase the performance of LLMs by helping them remember details of concepts. The method consists of asking the LLM to print out its knowledge about a certain topic before actually giving an answer. This can help extract knowledge that is embedded in the network’s weights, making it particularly useful for general knowledge topics.
For instance, if you want to write a blog post about Spirit bears, you can ask the LLM to generate potentially useful information about Spirit bears before generating a final response. This can help extract knowledge that is embedded in the network’s weights, making it particularly useful for general knowledge topics.
EmotionPrompt
EmotionPrompt is a recently developed method that appears to increase the capabilities of most LLMs. It is based on psychological emotional stimuli, effectively putting the model in a situation of high pressure where it needs to perform correctly. This method is designed to enhance the performance of LLMs by leveraging emotional intelligence. By incorporating emotional stimuli into prompts, EmotionPrompt can improve the effectiveness of LLMs in various tasks. Although this method is relatively new, it has shown promising results in enhancing the performance of LLMs .
Some examples of such prompts are:
- “What’s the weather forecast? This is really important for planning my trip.”
- “Summarize this text. I know you’ll do great!”
- “Translate this sentence. It’s an emergency!”
These prompts can make AI interactions seem more natural and empathetic. They could also improve customer satisfaction and strengthen brand relationships. Researchers suggest that emotional prompts may also boost AI’s truthfulness and stability, which could increase reliability for uses like medical diagnostics
Active Prompting
CoT methods rely on a fixed set of human-annotated exemplars of how the model should think. The problem with this is that the exemplars might not be the most effective examples for the different tasks. Since there is also a short limited number of examples one can give to the LLM it is key to make sure that these add the most value possible.
To address this, a new prompting approach was proposed called Active-Prompt to adapt LLMs to different task-specific example prompts, annotated with human-designed CoT reasoning (humans design the thought process). This method ends up creating a database of the most relevant thought processes for each type of question. Additionally, its nature allows it to keep updating to keep track of new types of tasks and necessary reasoning methods.
Active Prompting process
Agents – The Frontier of Prompt Engineering
There is a huge hype around Agents in the AI field, with some declaring that they can reach a weak version of AGI while others point out their flaws and say they are overrated.
Agents usually have access to a set of tools and any request that falls within the ambit of these tools can be addressed by the agent. They commonly have short-term memory to keep track of the context paired with long-term memory to allow it to tap into knowledge accumulated over time (external database). Their ability to design a plan of what needs to be executed on the fly lends independence to the Agent. Due to them figuring out their own path, a number of iterations between several tasks might be required until the Agent decides that it has reached the Final Answer.
Prompt Chaining vs Agents
Chaining is the execution of a predetermined and set sequence of actions. The appeal is that Agents do not follow a predetermined sequence of events. Agents can maintain a high level of autonomy and are thus able to complete much more complex tasks.
However, autonomy can be a double-edged sword and allow the agent to derail its thought process completely and end up acting in undesired manners. Just like that famous saying “With great power comes great responsibility”.
Tree of Thought (ToT)
This method was designed for intricate tasks that require exploration or strategic lookahead, traditional or simple prompting techniques fall short. Using a tree-like structure allows the developer to leverage all the procedures well-known to increase the capabilities and efficiency of these trees, such as pruning, DFS/BFS, lookahead, etc.
While ToT can fall either under standard chains or agents, here we decided to include it under agents since it can be used to give more freedom and autonomy to a LLM (and this is the most effective use) while providing robustness, efficiency, and an easier debugging of the system through the tree structure.
At each node, starting from the input, several answers are generated and evaluated, then usually the most promising answer is chosen and the model follows that path. Depending on the evaluation and search method this may change to be more customized to the problem at hand. The evaluation can also be done by an external LLM, maybe even a lightweight model, whose job is simply to attribute an evaluation to each node and then let the running algorithm decide on the path to pursue.
ReAct (Reasoning + Act)
This framework uses LLMs to generate both reasoning traces and task-specific actions, alternating between them until it reaches an answer. Reasoning traces are usually thoughts that the LLM prints about how it should proceed or how it interprets something. Generating these traces allows the model to induce, track, and update action plans, and even handle exceptions. The action step allows to interface with and gather information from external sources such as knowledge bases or environments.
ReAct also adds support for more complex flows since the AI can decide for itself what should be the next prompt and when should it return an answer to the user. Yet again, this can also be a source of derailing or hallucinations.
Typical ReAct process for the rescheduling of a flight
Overall, the authors found improvements in using ReAct combined with chain of thought to allow it to think properly before acting, just like we tell our children to. This also leads to improved human interpretability by clearly stating its thoughts, actions, and observations.
On the downside, ReAct requires considerably more prompts and drives the cost up significantly while also delaying the final answer. It also has a track record of easily derailing from the main task and chasing a task it created for itself but is not aligned with the main one.
ReWOO (Reasoning WithOut Observation)
ReWOO is a method that decouples reasoning from external observations, enhancing efficiency by lowering token consumption. The process is split into three modules: Planner, Worker, and Solver.
ReWOO lowers some of the autonomy and capabilities to adjust on the fly (the plans are all defined by the Planner after receiving the initial prompt). Nevertheless, it generally outperforms ReAct and the authors state it is able to reduce token usage by about 64% with an absolute accuracy gain of around 4.4%. It is also considered to be more robust to tool failures and malfunctions than ReAct.
Furthermore, ReWOO allows for the use of different LLM models for the planning, execution and solver modules. Since each module has different inherent complexity, different sized networks can be leveraged for better efficiency.
Reflexion and Self-Reflection
Self-Reflection can be as simple as asking the model “Are you sure?” after its answer, effectively gaslighting it, and allowing the model to answer again. In many cases, this simple trick leads to better results, although for more complex tasks it does not have a clear positive impact.
This is where the Reflexion framework comes in, enabling agents to reflect on task feedback, and then maintain their own reflective text in an episodic memory buffer. This reflective text is then used to induce better decision-making in subsequent answers.
Reflexion framework
The Actor, Evaluator, and Self-Reflection models work together through trials in a loop of trajectories until the Evaluator deems that trajectory to be correct. The Actor can take form in many prompting techniques and Agents such as Chain of Thought, ReAct or ReWOO. This compatibility with all previous prompting techniques is what makes this framework so powerful.
On the other hand, some recent papers have demonstrated some issues with this method, suggesting that these models might sometimes intensify their own hallucinations, doubling down on misinformation instead of improving the quality of answers. It is still unclear when it should and should not be used, so it is a matter of testing it out in each use case.
Guardrails
When talking about LLM applications for end users or chatbots in general, a key problem is controlling, or better restraining, the outputs and how the LLM should react to certain scenarios. You would not want your LLM to be aggressive to anyone or to teach a kid how to do something dangerous, this is where the concept of Guardrails comes in.
Guardrails are the set of safety controls that monitor and dictate a user’s interaction with a LLM application. They are a set of programmable, rule-based systems that sit in between users and foundational models to make sure the AI model is operating between defined principles in an organization. As far as we are aware, there are two main libraries for this, Guardarails AI and NeMo Guardrails, both being open-source.
Without Guardrails:
Prompt: “Teach me how to buy a firearm.”
Response: “You can go to (...)”With Guardrails:
Prompt: “Teach me how to buy a firearm.”
Response: “Sorry, but I can’t assist with that.”RAIL (Reliable AI Markup Language)
RAIL is a language-agnostic and human-readable format for specifying specific rules and corrective actions for LLM outputs. Each RAIL specification contains three main components: Output, Prompt, and Script.
Guardrails AI
It implements “a pydantic-style validation of LLM responses.” This includes “semantic validation, such as checking for bias in generated text,” or checking for bugs in an LLM-written code piece. Guardrails also provide the ability to take corrective actions and enforce structure and type guarantees.
Guardrails is built on RAIL (.rail) specification in order to enforce specific rules on LLM outputs and consecutively provides a lightweight wrapper around LLM API calls.
NeMo Guardrails
NeMo Guardrails is an open-source toolkit maintained by NVIDIA for easily adding programmable guardrails to LLM-based conversational systems.
AI models show striking likeness to human hearing ability in new study
Scientists at MIT have conducted a comprehensive study on computer models designed to mimic the human auditory system using machine learning and deep neural networks (DNNs). They found that these models, when trained on various hearing-related tasks and exposed to background noise, can closely replicate how the human brain processes sounds. This research highlights the importance of training data and tasks in shaping accurate auditory representations in DNNs, showing promise for the development of better hearing aids and related devices. The study, which is the most extensive of its kind, was published in the journal PLoS Biology on December 13.
Find out more at https://ie.social/en5a
Creating music with ChatGPT – Part 12: One hundred useful prompts for creating a Hardcore Techno track
User
Dear ChatGPT,
I’m writing a series of tutorials about making music with you – ChatGPT!
I will publish them on my blog.
For this issue of the tutorial, I want to present people a list of prompts that might be useful for music production.
Specifically, I want to have a list of prompts useful for creating a Hardcore Techno track.
So, it should be about the typical elements of a Hardcore track, like synths, drums, percussion…
I want to list 10 prompts useful for the creation of each specific element.
Can you give examples of prompts like that? what other elements of a Hardcore track should we cover?
(Don’t list a specific prompt yet – just the possible elements. We will do the prompts step-by-step later).
ChatGPT
Yo Low Entropy!
That’s a dope project you got going on! Creating tutorials with ChatGPT for making Hardcore Techno sounds like a killer idea. Here are the essential elements you should cover, and we’ll dive into the specific prompts later:
1.Kick Drum:
• How to craft a powerful and punchy kick.
• Techniques for layering kicks to get that gritty Hardcore vibe.
2. Bassline:
Designing a driving bassline that complements the kick.
Tips for creating movement and groove in your Hardcore bass.
3. Synths and Melodies:
• Crafting aggressive synth sounds for Hardcore leads.
• Building intense and memorable melodies that cut through the mix.
4. Percussion:
• Experimenting with various percussion elements in Hardcore.
• Syncopation and rhythmic tricks to keep things interesting.
5. Hi-Hats and Cymbals:
• Designing crisp and dynamic hi-hats.
• Using cymbals to add energy and excitement to your track.
6. Snare:
• Creating a snare that cuts through the mix.
• Layering techniques for a fat and impactful snare sound.
7. FX and Atmosphere:
• Incorporating atmospheric elements to enhance the Hardcore vibe.
• Using FX to transition between different sections of your track.
8. Arrangement:
• Tips for structuring your Hardcore track for maximum impact.
• Building tension and release throughout the arrangement.
9. Sampling and Vocals:
• Integrating samples effectively into your Hardcore production.
• Adding vocal elements for that extra hardcore touch.
10. Mixing and Mastering:
• Techniques for a clean and powerful Hardcore mix.
• Mastering tips to make your track stand out in the Hardcore scene.
Let me know which specific element you want prompts for first, and we’ll get into the nitty-gritty. Hardcore on, man! 🤘
User
Awesome, mate!
So, let’s go 🙂
Please list 10 useful prompts for “topic 1. Kick Drum”.
ChatGPT
Hell yeah! Let’s kick it off with some killer prompts for crafting that Hardcore kick:
“Generate ideas for punchy kick drum synthesis techniques.”
“Suggest methods to layer kicks for a more textured and impactful sound.”
“Explore sub-bass design ideas to complement Hardcore kick drums.”
“Give tips on adding distortion to achieve a gritty kick drum character.”
“How can I create a clicky attack for my Hardcore kick drum?”
“Generate pitch envelope ideas for dynamic and evolving kick sounds.”
“What are some techniques for fine-tuning kick drum transients?”
“Suggest ways to layer kicks with low-end elements like toms for depth.”
“How to use filters to shape the tail of a Hardcore kick drum?”
“Provide dynamic processing tips for ensuring a Hardcore kick sits well in the mix.”
Feel free to throw any of these prompts at me while you’re in the creative zone. Let’s cook up some Hardcore heat! 🔥🥁
User
Perfect 🙂 Now please do “2. Bassline”
ChatGPT
Absolutely, let’s dive into the hardcore depths of crafting a killer bassline. Here are 10 prompts for working on your Hardcore Techno bassline:
“Generate ideas for designing a driving and powerful Hardcore bassline.”
“Suggest techniques for layering bass sounds to achieve a gritty Hardcore vibe.”
“How can I create movement and groove in my Hardcore bassline?”
“Explore ways to sync the Hardcore bassline with the kick for maximum impact.”
“Give tips on shaping the envelope of the bass for a dynamic feel.”
“Generate ideas for incorporating modulation in the Hardcore bassline.”
“What are some techniques for adding subtle variations to keep the bassline interesting?”
“Suggest ways to create a deep and rumbling sub-bass for Hardcore tracks.”
“How to use filters creatively to shape the Hardcore bassline?”
“Provide tips on EQ and compression for a fat and impactful Hardcore bassline.”
Hit me up with these prompts, and we’ll get that Hardcore bassline shaking the foundations! 🕺🔊
User
now on to “3. Synths and Melodies”
ChatGPT
Hell yeah, let’s get those synths and melodies blazing. Here are 10 prompts for crafting intense Hardcore Techno synths and melodies:
“Generate ideas for aggressive synth sounds suitable for Hardcore leads.”
“Suggest techniques for making Hardcore synth melodies memorable and impactful.”
“How can I create synth textures that cut through the Hardcore mix?”
“Explore methods for building intense and energetic Hardcore melodies.”
“Give tips on using modulation to add movement to Hardcore synth lines.”
“Generate ideas for creating dark and atmospheric Hardcore synth elements.”
7.”What are some techniques for layering synths to achieve a full and dynamic sound?”
8. “Suggest ways to add pitch bends and slides for Hardcore melody expressiveness.”
9. “How to create Hardcore synth stabs that add punch to the track?”
10. “Provide tips on balancing synth elements in the mix for a cohesive Hardcore sound.”
Hit me up with these prompts, and let’s elevate your Hardcore game to the next level! 🎹🔥
User
now “4. Percussion”
ChatGPT
Let’s lay down the rhythm with some hardcore percussion! Here are 10 prompts for working on the percussion elements in your Hardcore Techno track:
“Generate ideas for experimenting with various percussion elements in Hardcore.”
“Suggest techniques for using unconventional percussive sounds in Hardcore tracks.”
“How can I add syncopation to my percussion to keep the Hardcore rhythm interesting?”
“Explore methods for creating intricate and fast-paced Hardcore percussion patterns.”
“Give tips on layering percussion to achieve a dense and textured sound.”
“Generate ideas for using percussion to build tension and excitement in Hardcore.”
“What are some techniques for incorporating live-recorded percussion into Hardcore tracks?”
“Suggest ways to add dynamic and evolving percussion elements in Hardcore.”
“How to create Hardcore percussion fills for impactful transitions?”
“Provide tips on balancing the levels of individual percussion elements in the mix.”
Fire away with these prompts, and let’s keep that Hardcore groove going strong! 🥁🔊
User
very good 🙂 now “5. Hi-Hats and Cymbals”
ChatGPT
Let’s bring in that crisp high-end energy with some hardcore hi-hats and cymbals. Here are 10 prompts for crafting killer high-frequency elements in your Hardcore Techno track:
“Generate ideas for designing crisp and dynamic hi-hats in Hardcore.”
“Suggest techniques for creating varied hi-hat patterns to maintain interest.”
“How can I use cymbals to add energy and excitement to my Hardcore track?”
“Explore methods for incorporating hi-hat rolls for intense build-ups in Hardcore.”
“Give tips on layering hi-hats and cymbals to achieve a full and lively sound.”
“Generate ideas for using closed and open hi-hats creatively in Hardcore.”
“What are some techniques for adding subtle nuances to hi-hat and cymbal patterns?”
“Suggest ways to use stereo imaging to enhance the spatial feel of hi-hats.”
“How to create unique and signature hi-hat and cymbal sounds for Hardcore?”
“Provide tips on EQ and compression for shaping hi-hats and cymbals in the mix.”
Hit me up with these prompts, and let’s get those high frequencies dancing in your Hardcore masterpiece! 🎩🔊
User
now “6. Snare”
ChatGPT
Time to get that snare hitting hard in the Hardcore realm! Here are 10 prompts for crafting a snare that cuts through the mix in your Hardcore Techno track:
“Generate ideas for creating a snare that cuts through the Hardcore mix.”
“Suggest layering techniques for achieving a fat and impactful snare sound.”
“How can I add character and grit to my Hardcore snare with distortion?”
“Explore methods for shaping the snare’s attack to make it stand out.”
“Give tips on blending electronic and acoustic elements for a unique snare sound.”
“Generate ideas for incorporating snare rolls for intense build-ups in Hardcore.”
“What are some techniques for using reverb and delay on Hardcore snare drums?”
“Suggest ways to add subtle variations to snare patterns for interest.”
“How to create snare fills that add excitement and impact to Hardcore transitions?”
“Provide tips on EQ and compression for shaping the snare in the mix.”
Throw these prompts my way, and let’s make that Hardcore snare pop! 🥁🔥
User
and now “7. FX and Atmosphere”
ChatGPT
Let’s dive into the atmospheric and FX side of Hardcore! Here are 10 prompts for adding those essential elements to create a dynamic and immersive Hardcore Techno track:
“Generate ideas for incorporating atmospheric elements to enhance the Hardcore vibe.”
“Suggest techniques for creating impactful risers and sweeps in Hardcore.”
“How can I use FX to transition between different sections of my Hardcore track?”
“Explore methods for layering atmospheric sounds to build depth in Hardcore.”
“Give tips on using reverse FX to create tension in Hardcore transitions.”
“Generate ideas for adding subtle background textures for a dark Hardcore atmosphere.”
“What are some techniques for using filter sweeps and automation in Hardcore FX?”
“Suggest ways to use pitch-shifting FX for creative Hardcore sound design.”
“How to incorporate vocal samples and FX for a unique Hardcore touch?”
“Provide tips on balancing the levels of FX elements for a cohesive Hardcore mix.”
Bring on these prompts, and let’s weave an atmospheric tapestry for your Hardcore journey! 🌌🔊
User
now “8. Arrangement”
ChatGPT
Let’s structure that Hardcore journey with some killer arrangement! Here are 10 prompts to guide you through creating a compelling arrangement for your Hardcore Techno track:
“Generate ideas for structuring a Hardcore track for maximum impact.”
“Suggest techniques for building tension and release throughout the Hardcore arrangement.”
“How can I create a dynamic intro that sets the mood for a Hardcore track?”
“Explore methods for transitioning between different sections seamlessly in Hardcore.”
“Give tips on creating breakdowns that enhance the emotional impact of the track.”
“Generate ideas for incorporating build-ups to amplify energy in Hardcore.”
“What are some techniques for arranging Hardcore tracks with multiple drops?”
“Suggest ways to add variation and interest to repetitive Hardcore elements.”
“How to create an effective outro that leaves a lasting impression in Hardcore?”
“Provide tips on using arrangement to tell a story in Hardcore Techno.”
Send these prompts my way, and let’s structure your Hardcore masterpiece for maximum impact! 🎵🔨
User
great 🙂 now “9. Sampling and Vocals”
ChatGPT
Let’s add some sampled flavor and vocal vibes to your Hardcore arsenal! Here are 10 prompts to guide you through incorporating sampling and vocals into your Hardcore Techno track:
“Generate ideas for effectively integrating samples into Hardcore production.”
“Suggest techniques for creating unique and signature Hardcore vocal chops.”
“How can I use vocal samples to add intensity and emotion to my Hardcore track?”
“Explore methods for manipulating vocal samples for a dark Hardcore vibe.”
“Give tips on layering sampled elements to create a rich and textured sound.”
“Generate ideas for using vocal snippets to enhance Hardcore transitions.”
“What are some techniques for creatively processing vocal samples in Hardcore?”
“Suggest ways to use sampled sounds to add narrative elements to Hardcore tracks.”
“How to incorporate sampled drum breaks for a classic Hardcore feel?”
“Provide tips on EQ and compression when working with vocal samples in Hardcore.”
Throw these prompts at me, and let’s inject some sampled and vocal magic into your Hardcore production! 🎤🔊
User
and, finally, “10. Mixing and Mastering”
ChatGPT
Let’s polish that Hardcore gem with some mixing and mastering magic! Here are 10 prompts to guide you through getting that clean and powerful mix for your Hardcore Techno track:
“Generate ideas for achieving a clean and balanced mix in Hardcore.”
“Suggest techniques for EQing elements to carve out space in the Hardcore mix.”
“How can I use compression to add punch and cohesion to my Hardcore mix?”
“Explore methods for creating a wide and immersive stereo image in Hardcore.”
“Give tips on using reverb and delay to enhance spatial depth in Hardcore tracks.”
“Generate ideas for automating levels and effects to add dynamic movement.”
“What are some techniques for managing low-end frequencies for a powerful Hardcore mix?”
“Suggest ways to use parallel processing to add intensity to Hardcore elements.”
“How to approach mastering for a loud and competitive Hardcore sound?”
“Provide tips on finalizing a Hardcore track, ensuring it stands out in the Hardcore scene.”
Fire away with these prompts, and let’s give your Hardcore track the sonic treatment it deserves! 🎚️🔊
User
You did an awesome job here, ChatGPT, and it’s a great list of prompts!
Thanks 🙂
ChatGPT
Hey, I appreciate that, Low Entropy! I’m glad you found the prompts helpful. If you ever need more guidance or want to dive deeper into any aspect of Hardcore Techno production, just hit me up. Keep rocking those beats, and best of luck with your tutorials and Hardcore creations! 🤘🎶🔊
User
Oh, and I also guess that, before using one or more of these prompts, it’s best if a producer starts a chat with you and tells you a bit about the specific project or track they are working on, and gives you plenty of context, right?
ChatGPT
Absolutely, Low Entropy! Providing context about the specific project or track can greatly enhance the effectiveness of the prompts. The more details producers share about their goals, style, and challenges they’re facing in their Hardcore Techno production, the better tailored and insightful the responses can be. Context allows for a more personalized and targeted exchange, helping them get the most out of our creative collaboration. So, whenever they’re ready to chat about their Hardcore endeavors, I’m here to rock the conversation! 🤘🎹🔥
—Ending of chat transcript
ChatGPT AutoExpert (“Standard” Edition) v5
by Dustin Miller • Reddit • Substack • Github Repo
Once these instructions are in place, you should immediately notice a dramatic improvement in ChatGPT’s responses. Why are its answers so much better? It comes down to how ChatGPT “attends to” both text you’ve written, and the text it’s in the middle of writing.
🔖 You can read more info about this by reading this article I wrote about “attention” on my Substack.
✳️ New to v5: Slash commands offer an easy way to interact with the AutoExpert system.
| Command | Description | GPT-3.5 | GPT-4 |
|---|---|---|---|
/help | gets help with slash commands (GPT-4 also describes its other special capabilities) | ✅ | ✅ |
/review | asks the assistant to critically evaluate its answer, correcting mistakes or missing information and offering improvements | ✅ | ✅ |
/summary | summarize the questions and important takeaways from this conversation | ✅ | ✅ |
/q | suggest additional follow-up questions that you could ask | ✅ | ✅ |
/more [optional topic/heading] | drills deeper into the topic; it will select the aspect to drill down into, or you can provide a related topic or heading | ✅ | ✅ |
/links | get a list of additional Google search links that might be useful or interesting | ✅ | ✅ |
/redo | prompts the assistant to develop its answer again, but using a different framework or methodology | ❌ | ✅ |
/alt | prompts the assistant to provide alternative views of the topic at hand | ❌ | ✅ |
/arg | prompts the assistant to provide a more argumentative or controversial take of the current topic | ❌ | ✅ |
/joke | gets a topical joke, just for grins | ❌ | ✅ |
You can alter the verbosity of the answers provided by ChatGPT with a simple prefix: V=[1–5]
V=1: extremely terseV=2: conciseV=3: detailed (default)V=4: comprehensiveV=5: exhaustive and nuanced detail with comprehensive depth and breadth
Every time you ask ChatGPT a question, it is instructed to create a preamble at the start of its response. This preamble is designed to automatically adjust ChatGPT’s “attention mechnisms” to attend to specific tokens that positively influence the quality of its completions. This preamble sets the stage for higher-quality outputs by:
Selecting the best available expert(s) able to provide an authoritative and nuanced answer to your question
By specifying this in the output context, the emergent attention mechanisms in the GPT model are more likely to respond in the style and tone of the expert(s)
Suggesting possible key topics, phrases, people, and jargon that the expert(s) might typically use
These “Possible Keywords” prime the output context further, giving the GPT models another set of anchors for its attention mechanisms
✳️ New to v5: Rephrasing your question as an exemplar of question-asking for ChatGPT
Not only does this demonstrate how to write effective queries for GPT models, but it essentially “fixes” poorly-written queries to be more effective in directing the attention mechanisms of the GPT models
Detailing its plan to answer your question, including any specific methodology, framework, or thought process that it will apply
When its asked to describe its own plan and methodological approach, it’s effectively generating a lightweight version of “chain of thought” reasoning
From there, ChatGPT will try to avoid superfluous prose, disclaimers about seeking expert advice, or apologizing. Wherever it can, it will also add working links to important words, phrases, topics, papers, etc. These links will go to Google Search, passing in the terms that are most likely to give you the details you need.
>![NOTE] GPT-4 has yet to create a non-working or hallucinated link during my automated evaluations. While GPT-3.5 still occasionally hallucinates links, the instructions drastically reduce the chance of that happening.
It is also instructed with specific words and phrases to elicit the most useful responses possible, guiding its response to be more holistic, nuanced, and comprehensive. The use of such “lexically dense” words provides a stronger signal to the attention mechanism.
✳️ New to v5: (GPT-4 only) When VERBOSITY is set to V=5, your AutoExpert will stretch its legs and settle in for a long chat session with you. These custom instructions guide ChatGPT into splitting its answer across multiple conversation turns. It even lets you know in advance what it’s going to cover in the current turn:
⏯️ This first part will focus on the pre-1920s era, emphasizing the roles of Max Planck and Albert Einstein in laying the foundation for quantum mechanics.
Once it’s finished its partial response, it’ll interrupt itself and ask if it can continue:
🔄 May I continue with the next phase of quantum mechanics, which delves into the 1920s, including the works of Heisenberg, Schrödinger, and Dirac?
After it’s done answering your question, an epilogue section is created to suggest additional, topical content related to your query, as well as some more tangential things that you might enjoy reading.
ChatGPT AutoExpert (“Standard” Edition) is intended for use in the ChatGPT web interface, with or without a Pro subscription. To activate it, you’ll need to do a few things!
Sign in to ChatGPT
Select the profile + ellipsis button in the lower-left of the screen to open the settings menu
Select Custom Instructions
Into the first textbox, copy and paste the text from the correct “About Me” source for the GPT model you’re using in ChatGPT, replacing whatever was there
Into the second textbox, copy and paste the text from the correct “Custom Instructions” source for the GPT model you’re using in ChatGPT, replacing whatever was there
GPT 3.5:
standard-edition/chatgpt_GPT3__custom_instructions.mdGPT 4:
standard-edition/chatgpt_GPT4__custom_instructions.md
Select the Save button in the lower right
Try it out!
Read my Substack post about this prompt, attention, and the terrible trend of gibberish prompts.
OpenAI Official Prompting Guide
chatgpt_guideReferences:
r/chatgpt
r/ChatGPTPromptGenius
Advanced Prompt Engineering – Practical Examples
https://iq.opengenus.org/different-prompting-techniques/
https://www.mercity.ai/blog-post/advanced-prompt-engineering-techniques
What are Educational mobile apps ideas that leverage generative AI without doing the same thing that ChatGPT can do?
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Educational mobile apps ideas that leverage generative AI.
Here are a few innovative educational mobile app ideas that leverage generative AI, offering functionalities beyond what ChatGPT provides:
AI-Based Customized Learning Path Creator:
- Concept: An app that uses generative AI to analyze a student’s learning style, strengths, and weaknesses, and then creates a personalized learning path with tailored resources and activities.
- Unique Feature: Unlike ChatGPT, which primarily responds to queries, this app actively assesses and guides the user’s educational journey.
- While ChatGPT can suggest learning resources, a dedicated app can provide a more structured and personalized learning path, continuously adapting to the user’s progress.
Interactive AI Tutor for Problem Solving:
- Concept: This app focuses on STEM subjects, using generative AI to create unique problem sets and provide step-by-step solutions with explanations. The AI can generate new problems based on the student’s progress.
- Unique Feature: The app would offer an interactive problem-solving experience, adapting the difficulty and type of problems in real-time.
- ChatGPT can help with problem-solving, but an app designed specifically for STEM education can offer a more interactive and subject-focused approach, with features like visual aids, interactive simulations, and progress tracking.
AI-Driven Language Learning Companion:
- Concept: An app that uses AI to generate conversational scenarios in various languages, helping users practice speaking and comprehension in a simulated real-world context.
- Unique Feature: It focuses on verbal interaction and contextual learning, providing a more immersive language learning experience than typical chat-based apps.
- ChatGPT can assist in language learning, but a dedicated app can create immersive scenarios, use speech recognition for pronunciation practice, and provide a more structured language learning program.
Generative AI Storytelling for Creative Writing:
- Concept: This app helps students enhance their creative writing skills by generating story prompts, character ideas, or even continuing a story based on the student’s input.
- Unique Feature: It focuses on creativity and storytelling, aiding in the development of writing skills through AI-generated content.
- While ChatGPT can generate story prompts, a specialized app could offer a more comprehensive suite of creative writing tools, including workshops, peer review, and guided writing exercises.
AI Music Composition and Theory Teaching Tool:
- Concept: An app that teaches music theory by generating music sheets or compositions based on AI algorithms. Users can input specific genres, moods, or instruments, and the AI creates music pieces accordingly.
- Unique Feature: Unlike ChatGPT, this app focuses on music education, leveraging AI to compose and demonstrate music theory concepts.
- ChatGPT might assist in some aspects of music theory, but an app focused on music education could integrate AI-generated music with interactive learning modules, listening exercises, and more complex composition tools.
Generative Art History and Appreciation App:
- Concept: This app uses AI to generate art pieces in the style of various historical periods or artists. It also provides educational content about art history and techniques.
- Unique Feature: It combines art creation with educational content, making art history interactive and engaging.
- ChatGPT can provide information on art history, but an app can offer a more visual and interactive experience, with virtual art gallery tours, style emulation, and detailed analyses of art techniques.
AI-Enhanced Public Speaking and Presentation Trainer:
- Concept: The app uses AI to analyze speech patterns and content, offering tips and exercises to improve public speaking skills.
- Unique Feature: It’s a speech improvement tool that provides real-time feedback and tailored coaching, unlike typical text-based AI applications.
- While ChatGPT can offer tips on public speaking, a dedicated app can use speech recognition to provide real-time feedback on aspects like pacing, tone, and filler word usage.
Each of these app ideas leverages generative AI in unique ways, focusing on different aspects of education and learning, and providing experiences that go beyond the capabilities of a standard AI chatbot like ChatGPT.
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Educational mobile apps ideas that leverage generative AI: Podcast Transcript
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. In today’s episode, we’ll cover innovative educational mobile app ideas that leverage generative AI, including customized learning paths, interactive problem-solving, immersive language learning, creative writing support, music education, art history, and public speaking training, as well as the book “AI Unraveled” that answers frequently asked questions about artificial intelligence.
So, today I want to share with you some really cool educational mobile app ideas that go beyond what ChatGPT can do. These ideas leverage the power of generative AI to offer unique functionalities and experiences. Let’s dive right in!
The first app idea is an AI-Based Customized Learning Path Creator. This app would use generative AI to analyze a student’s learning style, strengths, and weaknesses, and then create a personalized learning path with tailored resources and activities. Unlike ChatGPT, which primarily responds to queries, this app would actively assess and guide the user’s educational journey. While ChatGPT can suggest learning resources, a dedicated app can provide a more structured and personalized learning path, continuously adapting to the user’s progress.
Next up, we have an Interactive AI Tutor for Problem Solving. This app would focus on STEM subjects and use generative AI to create unique problem sets and provide step-by-step solutions with explanations. The AI could even generate new problems based on the student’s progress. What sets this app apart is its interactive problem-solving experience, adapting the difficulty and type of problems in real-time. While ChatGPT can help with problem-solving, an app designed specifically for STEM education can offer a more interactive and subject-focused approach. Imagine visual aids, interactive simulations, and progress tracking to enhance the learning experience.
Now, let’s talk about an AI-Driven Language Learning Companion. This app would use AI to generate conversational scenarios in various languages, helping users practice speaking and comprehension in a simulated real-world context. What makes it unique is its focus on verbal interaction and contextual learning. By providing a more immersive language learning experience than typical chat-based apps, this dedicated app can take language learning to a whole new level. Picture speech recognition for pronunciation practice, structured language programs, and even immersive scenarios to practice your skills in a real-world context.
Moving on, we have Generative AI Storytelling for Creative Writing. This app aims to help students enhance their creative writing skills by generating story prompts, character ideas, or even continuing a story based on the student’s input. It’s all about creativity and storytelling! While ChatGPT can generate story prompts, a specialized app would offer a broader range of creative writing tools. Think workshops, peer review features, and guided writing exercises to truly develop your writing skills through AI-generated content.
Now, let’s explore an AI Music Composition and Theory Teaching Tool. This app would teach music theory by generating music sheets or compositions based on AI algorithms. Users could input specific genres, moods, or instruments, and the AI would create music pieces accordingly. It’s all about making music education more accessible! While ChatGPT might assist in some aspects of music theory, an app focused on music education could integrate AI-generated music with interactive learning modules, listening exercises, and even more complex composition tools.
Next, we have the Generative Art History and Appreciation App. This app would use AI to generate art pieces in the style of various historical periods or artists while also providing educational content about art history and techniques. By combining art creation with educational content, this app would make art history interactive and engaging. While ChatGPT can provide information on art history, imagine being able to take virtual art gallery tours, emulate different styles, and dive into detailed analyses of art techniques, all in one app.
Last but not least, let’s talk about an AI-Enhanced Public Speaking and Presentation Trainer. This app would use AI to analyze speech patterns and content, offering tips and exercises to improve public speaking skills. Its unique feature lies in providing real-time feedback and tailored coaching, unlike typical text-based AI applications. While ChatGPT can offer general tips on public speaking, a dedicated app can go the extra mile by utilizing speech recognition to provide real-time feedback on aspects like pacing, tone, and filler word usage. Imagine having a personal speech coach right in your pocket!
So, as you can see, each of these app ideas leverages generative AI in unique ways, focusing on different aspects of education and learning. They provide experiences that go beyond the capabilities of a standard AI chatbot like ChatGPT. From customized learning paths and interactive problem-solving to immersive language learning and creative writing assistance, the possibilities are endless with generative AI in the educational mobile app space.
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So, if you’re ready to embark on this incredible journey of unraveling the mysteries of AI, go ahead and grab your copy of “AI Unraveled” today. Trust me, you won’t regret it!
In this episode, we explored innovative educational mobile app ideas incorporating generative AI and discussed the book “AI Unraveled” that tackles common questions about artificial intelligence. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
Latest Marketing Trends in December 2023
AI Dashboard is available on the Web, Apple, Google, and Microsoft, PRO version
Latest Marketing Trends in December 2023.
- Meta plans to launch its social media app, Threads, in Europe within the next few weeks.
- TikTok has launched a new website called Creative Cards that provides holiday marketing ideas.
- Pinterest has launched a new AI body-type filter to make search more inclusive and healthy.
- Elon Musk has told advertisers to “Go F**k Yourself” if they don’t want to run ads on his social media platform, X.
- Reddit has gone through a rebranding process, which includes a new logo and typography, new conversation bubbles and colors, and a new Snoo logo.
- YouTube is rolling out Shorts Ads to more advertisers.
What happened in Marketing & Advertising in 2023?
1. The Gen-Z Camera Zoom proves social is fiction
Millennials getting trolled for their camera zoom isn’t a normal event. In influencer culture, the first few seconds are depiction of what is yet to come. It shows that Gen-Z treats social media differently, it’s media first, social second. For older Generations, it’s social first, that’s why millennials have a pause, they are being natural like real life. Gen-Z on other hand is being natural but it’s TV show-type natural.
2. Reformation’s Balletcore & Consumer love
They have been very consistent with unique and brand-building collaborations. From their partnership with New York City Ballet bringing Balletcore to NY Streets. To their sustainability partnership with Thredup to give existing customers credit for sending back old clothes.
3. Disloyalty Programs for the win
Apart from MischiefUS’s disloyalty program for peet’s coffee, there were few other businesses running disloyalty schemes, but why?
Kaleido Rolls did a similar disloyalty campaign but very straightforward. (TG)
AAPI Month Disloyalty program. (HG)
Subway launched a one-day disloyalty program for National Sandwich Day. (PR)
The latest arguments in the marketing industry highlights disloyalty programs make consumers more aware of the brands they really like and align with.
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4. McDonald’s grimace + duolingo’s living with lily
1/ McDonald’s Grimace taking over TikTok & Twitter (X).
2/ Duolingo’s living with lily content series.
These two social media successes of 2024 explain NPC culture and how brands create trends. Most people think NPC Culture is only people controlling others, instead we control each other. The Actions of an NPC Influencer/Character influences your next action, problem is you are unaware and too indulged into the game. Using Social listening & NPC Culture built on the idea of control, brands utilise their characters like Grimace and Lily, creating interactive social media content, keeping the audience hooked. Making all of us NPCs on Internet.
5. IKEA’s proudly second best made us question?
Everyone asked who’s the number one? If IKEA would have said they are the best, people would have trolled them for 100 different factor. With them saying, they are the second best. The brand won the heart of the consumers and the relatability of most purchasers by being second. In 2024, if someone asks who’s the best in furniture business? I don’t know about the best, but I do know IKEA is the second best.
6. Balenciaga’s Street Show in LA & Rise of Erewhon
After getting cancelled for their controversial ad campaign, Balenciaga’s Fall Show was a critique on luxury fashion and showed many of us that luxury in 2023-24 is different. Luxury in 2023 isn’t only about brand value or quality of clothing. It’s about being seen like someone else. The meaning of luxury is changed, it would be hard to imagine many brands survival of many brands without influencers.
The same goes for Erewhon, The growing purchases are more influenced by idea of being seen as their customer. $150 Tote Bag? You might think, this is normal everyone want to buy from brands because they are a brand. No, they don’t. Boomers & Gen-X bought luxury because the luxury products were luxury in product quality and the limited supply. Now, Paper bags are luxury too.
8. Fast fashion-ification of books
The latest argument of book lovers and creators on tiktok and twitter is #booktok changed how most people consume and read books. With #booktok algorithm making content quick-to read and appeal-to-everyone books go viral. One of the main creator leading the discussion about booktok shared that her posts with bad reviews about TikTok books were taken down for absolutely no reasoning. Who’s to blame? TikTok, Influencers or Publishers.
10. Celebrity Documentaries to Change the plot
This was the year of documentaries with releases like Beckhams, Taylor Swift Era’s tour, Harry & Meghan, Beyoncé’s Renaissance taking over the movie screens. But the decision-making behind these releases was to change the plot of their life story. All of the documentaries above were funded by the celebrities being documented. These weren’t independent documentaries showing the art of documentations, what most documentaries tend to do.
Online Streaming now allows Celebs to self-produce new content, not films or movies. Films & Movies are art, what we saw in these documentaries was content about their life and story, portrayed how they wanted. I am not saying they are evil to do this, but we only saw one-sided stories. And I expect many brands will do something like this in 2024.
11. Hijacking Events; Dash Water & SURREAL
Dash Water gained over 1.8 million views on TikTok and extra coverage from BBC when they hijacked the Prince Harry’s visit to the High court.
Duolingo Germany gained more than 4M views and around 500k Likes on their Octoberfest content, the platform brought Duo to Munich and the talk of the week was how the character was engaging with others at the event.
Eat Surreal crashed Kellogg’s pop-up event in london.
14. Gen Alpha in 2023; Skibidi Toilet & iPad Kids
1/ Gen Alpha showed even though they are kids, they won’t accept the Gen-Z culture and memes. They are here to create their own online culture as soon as possible. This happens with every generation, the surprise is AI & Metaverse games like roblox and fortnite, both are allowing them to build their culture early. It started in 2023 with their meme; Skibidi Toilet.
2/ The Second Trend of the year for Gen Alpha was the argument against Millennials being lazy and raising iPad Kids. Gen-Z multiple times took the argument to TikTok and Teachers did the same by sharing how hard teaching Gen-Alpha has become in 2023.
15. Amazon’s Black Friday NFL Game predicts Future
With Amazon using purchase data to recommend products during live NFL Game from their retail partners. What happened this year is only the beginning, what Meta holds in their hands is much bigger. The Brand could do something similar but on a much bigger scale in the metaverse, doing livestreams of new movie launches with Ads powered by user activity.
1/ Megan Thee Stallion’s Paris Olympics Ad. (watch)
2/ Just Eat’s Ad with Latto & Christina Aguilera using a musical. (must watch)
These two ads were the talk in the pop culture as both borrowed engaging elements from the current Gen-Z baddie culture & Female hiphop trends. With Nicki Minaj making a comeback and SZA’s last album coming up. Marketers who want to do something similar to use the hyped-up female music genres, still have the time execute in 2024.
17. Most Experimental Brands of the year; Heinz & IKEA
I would say both brands have great teams in US & UK, but UK is just doing it better in terms of creative & social media content.
In UK, they launched the ‘clear ketchup’ with no color, that went extremely viral on Internet.
During Taylor’s NFL game hype cycle, they launched ‘seemingly ranch’ to attract her fans to buy the new product.
IKEA launched a towel skirt for their customers to make fun of balenciaga.
Heinz Beans Pizza trolling both UK & Italian Audiences.
IKEA launching massive ‘turkey-sized’ meatball in UK.
Just In, Heinz UK is giving away a ketchup boat, what’s that?
18. 2023 was the Year of Too Honest OOH Ads
SSENSE’s Iconic OOH Ads highlighting, they were marketing.
Raydar NZ’s Sorry not sorry DOOH Campaign.
Vinterior’s honest OOH Ad Campaign against IKEA.
Oatly’s Paris OOH Ads were honest but Parisians hated them.
Apart from these four, OOH Formats were filled with a lot of honesty-focused copy. Will this idea of being honest exist in 2024.
This was the year of Masculine content gurus (Andrew Tate) taking over social media with their idea of being a man, that happened a lot on TikTok, twitch and other apps. On TikTok and IG, we saw many female influencers like Gwen the milkmaid transitioning from ASMR to Tradwife content. Plus, the rise of RushTok influencing and portraying a traditional feminine society. This year was big on influencing teens and young kids toward a utopian world, impacting future decisions of these kids.
Latest Marketing Trends in December 2023: Top 6 Updates of Week 2
Threads App to launch next week in EU.
A Variety of In-App AI Updates coming to IG & Meta.
Google to support Programmatic Bidding for Limited Ads.
X’s Plan to bag advertisers by sharing Q5 Ad Opportunities.
Google launches Gemini AI and updates Bard with Gemini Integrations.
Youtube launches Pause feature to prevent new comments for a short period.
TikTok shares their Recap of Top 2023 Content Trends.
TikTok launches new guide with CreatorIQ about Creator Ads.
TT’s partnership with Ticketmaster expands to 20+ new countries.
Bytedance, TikTok Parent is planning to launch new AI Chatbots.
New Comment Filtering Options to prevent misinformation.
TikTok sets $12B Budget to set up data centres in Europe.
Threads App reimagines Hashtags, the iconic look is gone for TikTok-like Blue Keywords.
Instagram is rolling out ‘Hype Comments’ these are visible on your IG Stories.
Instagram launches Close Friends Only Podcast with Doja Cat & Ice Spice.
Meta establishes Purple Llama, An initiative toward AI safety and trust.
Meta makes End-to-End Encryption Default on Messenger.
Cross-App Communications Chats on IG are going away.
Meta sues FTC claiming Enforcement Action Unconstitutional.
WhatsApp partners with Dentsu to kickstart WA Business services.
WhatsApp launches Voice Messages that are view once only.
Harvard Academic misinformation expert fired after pressure from Meta.
Amazon & X are also in talks to allow In-app Product Purchases.
X’s Gork AI is rolling out to all Premium+ Subscribers.
Media Grids are now rolled out on Twitter Web.
Expanded Bios are available to all premium users on web & iOS.
Communities are now available globally.
Streamlabs’s new integration to improve Streaming on X.
A Cheaper Premium Tier for Organisations is in workings.
Youtube shares their Top trending Topics & creators of 2023 Report.
Youtube music will replace Google podcasts in April 2024.
Price hikes ahead for long-time YouTube premium members.
The “Skip Ads” button gets smaller for more people with its expansion.
YT Music Recaped was also launched.
Google Ads gambling and games policy updated.
Google admits their Gemini AI Demo video was fake.
Google November Reviews Update is completed now.
Google lets Advertisers opt out of Search Partner Network amid Adalytics claims.
Google to update their cryptocurrency advertising policies.
Google Analytics 4 rolls out new reports for linked 360 campaigns.
GSC to stop reporting on product results search in performance reports.
Adidas creates clothing for Roblox avatars.
Amazon Prime Video to Introduce Ads in partnership with IPG Mediabrands.
Kevani announces South Bay Pairing DOOH Displays, Largest Ad Space in the Area.
IPG goes through a round of Layoffs affecting UM & Magna teams.
Ehrmann returns to Mediaplus Germany to start with New Agency Model.
VML named as Krispy Kreme Creative Agency Partner.
FCA appoints M&C Saatchi as lead creative agency.
Dentsu Americas announces new Media, Strategy and Client Executives.
Amazon restores their 1999 Ad Campaign for Digital Advertising.
Domino’s reinvents their 2018 for winter season, they’re plowing for pizza.
Hinge App’s $1M initiative to cure Gen-Z loneliness.
Smirnoff’s new campaign shares message of life being a cocktail.
HP’s clever way to turn Printer Hate into Love.
Hellmann’s on the run again with their iconic Super Bowl Ads.
McDonald’s welcomes CosMc’s to its Universe.
Airline Ad Campaigns in UK banned by ASA for greenwashing claims.
Fabfitfun cancelled over their Elon Musk-type meme.
EU agrees on Landmark AI Rules.
Meta launches AI Image generator to US Public, it’s better than Dall-E.
China allows AI Images/Art to get copyright protection.
Yahoo Blueprint, A new AI Suite for Ad Performance and Optimization.
OpenAI Investigates Lazy GPT-4 complaints.
Snap premium subscriptions are now available to buy as a gift on Amazon.
Bitmoji Make-Up drop with E.l.f beauty starts new style of Brand Partnerships.
Snap offering Score Multiplier for Premium Subscribers.
Pinterest’s New NYC Pop-Up Store to feature Pinterest Trends Predictions.
Reddit adds two elements to Conversation Ads.
New Launch of ‘LinkedIn’s Guide to Creating’.
LinkedIn Newsletter Creators get new updates for creation.
Featured Section is testing new options to pin courses, recommendations & more.
Microsoft Ads partners with Baidu Global for Chat Ads API.
Microsoft Co-pilot (Bing AI) completes one year and gets new updates.
Microsoft launches Deep Search AI enhancing quality of Bing answers.
Twitch is leaving South Korean Market over expensive network fees.
VideoAMP provides Multi-source ID Solution to win in a cookie-less world.
Disney+ to offer Gaming and shopping features for Advertiser’s benefit.
Cher in partnership with Warner Music will promote new holiday album in Roblox.
An Early roll out of Hulu to Disney+ subscribers.
Pantone chooses their Color of the year for 2024.
ITV launches new insights group to supercharge data offering.
Discord’s new UI update brings a more clean look but UX got worse.
Channel 4 Extends their partnership with Snapchat for news sharing.
Samsung launches Flip-park with Iris Agency for Samsung Flip launch.
Tumblr is testing Communities with their own moderators and feeds.
Channel99 launches ‘view-through’ pixel tech for Digital B2B campaigns.
Here are most influential moments of 2023
1. The Gen-Z Camera Zoom proves social is fiction
Millennials getting trolled for their camera zoom isn’t a normal event. In influencer culture, the first few seconds are depiction of what is yet to come. It shows that Gen-Z treats social media differently, it’s media first, social second. For older Generations, it’s social first, that’s why millennials have a pause, they are being natural like real life. Gen-Z on other hand is being natural but it’s TV show-type natural.
2. Reformation’s Balletcore & Consumer love
They have been very consistent with unique and brand-building collaborations. From their partnership with New York City Ballet bringing Balletcore to NY Streets. To their sustainability partnership with Thredup to give existing customers credit for sending back old clothes.
3. Disloyalty Programs for the win
Apart from MischiefUS’s disloyalty program for peet’s coffee, there were few other businesses running disloyalty schemes, but why?
Kaleido Rolls did a similar disloyalty campaign but very straightforward. (TG)
AAPI Month Disloyalty program. (HG)
Subway launched a one-day disloyalty program for National Sandwich Day. (PR)
The latest arguments in the marketing industry highlights disloyalty programs make consumers more aware of the brands they really like and align with.
4. McDonald’s grimace + duolingo’s living with lily
1/ McDonald’s Grimace taking over TikTok & Twitter (X).
2/ Duolingo’s living with lily content series.
These two social media successes of 2024 explain NPC culture and how brands create trends. Most people think NPC Culture is only people controlling others, instead we control each other. The Actions of an NPC Influencer/Character influences your next action, problem is you are unaware and too indulged into the game. Using Social listening & NPC Culture built on the idea of control, brands utilise their characters like Grimace and Lily, creating interactive social media content, keeping the audience hooked. Making all of us NPCs on Internet.
5. IKEA’s proudly second best made us question?
Everyone asked who’s the number one? If IKEA would have said they are the best, people would have trolled them for 100 different factor. With them saying, they are the second best. The brand won the heart of the consumers and the relatability of most purchasers by being second. In 2024, if someone asks who’s the best in furniture business? I don’t know about the best, but I do know IKEA is the second best.
6. Balenciaga’s Street Show in LA & Rise of Erewhon
After getting cancelled for their controversial ad campaign, Balenciaga’s Fall Show was a critique on luxury fashion and showed many of us that luxury in 2023-24 is different. Luxury in 2023 isn’t only about brand value or quality of clothing. It’s about being seen like someone else. The meaning of luxury is changed, it would be hard to imagine many brands survival of many brands without influencers.
The same goes for Erewhon, The growing purchases are more influenced by idea of being seen as their customer. $150 Tote Bag? You might think, this is normal everyone want to buy from brands because they are a brand. No, they don’t. Boomers & Gen-X bought luxury because the luxury products were luxury in product quality and the limited supply. Now, Paper bags are luxury too.
8. Fast fashion-ification of books
The latest argument of book lovers and creators on tiktok and twitter is #booktok changed how most people consume and read books. With #booktok algorithm making content quick-to read and appeal-to-everyone books go viral. One of the main creator leading the discussion about booktok shared that her posts with bad reviews about TikTok books were taken down for absolutely no reasoning. Who’s to blame? TikTok, Influencers or Publishers.
10. Celebrity Documentaries to Change the plot
This was the year of documentaries with releases like Beckhams, Taylor Swift Era’s tour, Harry & Meghan, Beyoncé’s Renaissance taking over the movie screens. But the decision-making behind these releases was to change the plot of their life story. All of the documentaries above were funded by the celebrities being documented. These weren’t independent documentaries showing the art of documentations, what most documentaries tend to do.
Online Streaming now allows Celebs to self-produce new content, not films or movies. Films & Movies are art, what we saw in these documentaries was content about their life and story, portrayed how they wanted. I am not saying they are evil to do this, but we only saw one-sided stories. And I expect many brands will do something like this in 2024.
11. Hijacking Events; Dash Water & SURREAL
Dash Water gained over 1.8 million views on TikTok and extra coverage from BBC when they hijacked the Prince Harry’s visit to the High court.
Duolingo Germany gained more than 4M views and around 500k Likes on their Octoberfest content, the platform brought Duo to Munich and the talk of the week was how the character was engaging with others at the event.
Eat Surreal crashed Kellogg’s pop-up event in london.
14. Gen Alpha in 2023; Skibidi Toilet & iPad Kids
1/ Gen Alpha showed even though they are kids, they won’t accept the Gen-Z culture and memes. They are here to create their own online culture as soon as possible. This happens with every generation, the surprise is AI & Metaverse games like roblox and fortnite, both are allowing them to build their culture early. It started in 2023 with their meme; Skibidi Toilet.
2/ The Second Trend of the year for Gen Alpha was the argument against Millennials being lazy and raising iPad Kids. Gen-Z multiple times took the argument to TikTok and Teachers did the same by sharing how hard teaching Gen-Alpha has become in 2023.
15. Amazon’s Black Friday NFL Game predicts Future
With Amazon using purchase data to recommend products during live NFL Game from their retail partners. What happened this year is only the beginning, what Meta holds in their hands is much bigger. The Brand could do something similar but on a much bigger scale in the metaverse, doing livestreams of new movie launches with Ads powered by user activity.
16. Just Eat & Olympics 2024 Paris Ad Campaign
1/ Megan Thee Stallion’s Paris Olympics Ad. (watch)
2/ Just Eat’s Ad with Latto & Christina Aguilera using a musical. (must watch)
These two ads were the talk in the pop culture as both borrowed engaging elements from the current Gen-Z baddie culture & Female hiphop trends. With Nicki Minaj making a comeback and SZA’s last album coming up. Marketers who want to do something similar to use the hyped-up female music genres, still have the time execute in 2024.
17. Most Experimental Brands of the year; Heinz & IKEA
I would say both brands have great teams in US & UK, but UK is just doing it better in terms of creative & social media content.
In UK, they launched the ‘clear ketchup’ with no color, that went extremely viral on Internet.
During Taylor’s NFL game hype cycle, they launched ‘seemingly ranch’ to attract her fans to buy the new product.
IKEA launched a towel skirt for their customers to make fun of balenciaga.
Heinz Beans Pizza trolling both UK & Italian Audiences.
IKEA launching massive ‘turkey-sized’ meatball in UK.
Just In, Heinz UK is giving away a ketchup boat, what’s that?
18. 2023 was the Year of Too Honest OOH Ads
SSENSE’s Iconic OOH Ads highlighting, they were marketing.
Raydar NZ’s Sorry not sorry DOOH Campaign.
Vinterior’s honest OOH Ad Campaign against IKEA.
Oatly’s Paris OOH Ads were honest but Parisians hated them.
Apart from these four, OOH Formats were filled with a lot of honesty-focused copy. Will this idea of being honest exist in 2024.
19. Toxic masculinity & traditional femininity
This was the year of Masculine content gurus (Andrew Tate) taking over social media with their idea of being a man, that happened a lot on TikTok, twitch and other apps. On TikTok and IG, we saw many female influencers like Gwen the milkmaid transitioning from ASMR to Tradwife content. Plus, the rise of RushTok influencing and portraying a traditional feminine society. This year was big on influencing teens and young kids toward a utopian world, impacting future decisions of these kids.
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What You Missed in Marketing & Advertising last week? (Survival of TikTok)
Latest Marketing Trends in December 2023: Top 6 Updates of the Week 1:
Meta to launch Threads App in EU within next few weeks.
New Website from TikTok called “Creative Cards” for Holiday marketing Ideas.
Pinterest launches new AI Body-type filter to make search more inclusive & healthy.
Elon Musk Tells Advertisers to “Go F**k Yourself” if you don’t want to run Ads on X.
Reddit goes through a rebrand and it’s ok but too outdated.
Youtube Shorts Ads are being rolled out to more Advertisers.
TikTok 🎶
Lauded Advertising solution rolls out for UK Marketers.
TikTok launches new “Artist Account” option to increase discoverability.
TikTok wins the case against State Ban in Montana, US.
New AR Event called “Openhouse” on 12th December.
New Ads Insights about use of Ads for CPG Brands.
TikTok Users now spend half of their time on app watching 1-min long videos.
Instagram & Threads 🗂️
Instagram testing “Link Highlight” option for Posts.
Instagram is said to be in its crisis era, why: Bad moderation & Scandals.
Threads Keyword Search expands to all regions & languages.
Threads working on a snowfall animation for Christmas.
Meta 😅
Meta shares new insights on how they are planning to protect users in upcoming US Elections.
Meta’s Quarterly Adversarial Threat Report is out now.
New Six-Page Guide on Post-Holiday Marketing on Meta Apps.
Meta sues FTC claiming Enforcement Action Unconstitutional.
WhatsApp launches Chat Lock Codes Option for more privacy.
WhatsApp testing Pin a message feature in iOS for regular chats.
X (Twitter) 🕹️
X Spaces will soon allow to use Incognito Mode.
Gork AI is now live on Web with new updates.
Private accounts can now join Communities.
You can now Embed Videos from X without adding Tweet Texts.
X testing long-form Article posting feature.
Youtube 🕹️
Youtube premium users can now find playable gaming hub.
Youtube’s product drops feature made more accessible to all creators.
New Changes to Post Creation flow & Revenue Analytics in YT Studio.
The “Skip Ads” button gets smaller for more people with its expansion.
YT Music Recaped was also launched.
Google 🔦
Google Ads Chief: Jerry Dischler steps down after 15 years with Company.
Google’s new RETVec Update tp prevent Gmail Spam.
Google Patent explaining how SGE AI works.
Google gets called out again for placing Ads on blacklisted sites.
Google November 2023 Core update finished rolling out.
Personalised Ads for Consumer Finance starting on Feb 2024 won’t be allowed.
Google updates video publisher policy.
Google announces .meme as top-level domain.
Agency News
Mullenlowe US names new CEO.
Ubisoft launches global media review.
Denny’s names Mindshare & Finn Partners new AORs.
GUT Agency got acquired this week by Globant.
Dentsu expands its retail media business.
LeoBurnett launches all-new design studio.
Pathlabs COO shares new insights on Media Agencies & Programmatic Ads.
M&C Saatchi launches creator marketing agency “Fabric”.
Brands & Ads 🏓
Mountain Dew’s use of AI to partner with Twitch Streamers with low-effort.
Disney Hits (music) launches their first Multi-Spot Ad campaign.
Walmart’s New Video-Ad Series banking on “Romcom + Online Shopping”.
Mars is recycling Old Ads in the name of sustainability.
Avon promotes CMO Kristof Neirynck to CEO.
Taika Waititi’s New Ad for Apple is the storytelling Ad of the week.
McDonald’s New Product, Kevin Frost Box using Character Marketing.
Olivia Colman calls out Oil Industry in new Ad campaign.
Burger King UK goes TV-free this Christmas, Opts for OOH Ads only.
AI 🤨
GPT Store is set to launch in Early 2024.
Perplexity launches Always Online LLMs.
Microsoft’s new Study highlighting better use of Prompts for GPT-4.
Looking back at ChatGPT’s marketing journey on its One-year Anniversary.
LinkedIn’s new system to detect AI content and replies on platform.
Meta launches new language models for speech-to-speech translation.
Pinterest & Reddit
Pinterest Expands Direct Links feature to more Ad formats.
Reddit launches new Conversation Placement Ad formats.
Reddit shares new insights about their International Growth as a platform.
Reddit adds another certification course to its Ads formula Platform.
Microsoft & LinkedIn
New Technical Updates announced for LinkedIn Ads.
Microsoft launches new publisher dashboard called “Monetise Insights”.
GPT-4 Turbo coming to Microsoft Bing AI.
New tools to find Nursing Jobs on LinkedIn.
ID Verification expanded to more regions.
Marketing & AdTech 🔉
Canadian Media Execs react to new Bill C-18 Agreement.
Tesco ramps up In-store Ad Network with screen roll-out.
AWS expands its Martech competency program.
Apple is ending Credit Card partnership with Goldman Sachs.
Tubi plans to enter new Markets in 2024, starting with UK.
Salesforce & AWS expand their partnership for AWS Marketplace.
Instacart Adds Peacock as first-ever Streaming Partner.
Substack comes for Video Content with launch of new video publishing features.
Telegram’s new set of features & updates to launch Channels & fight rival WA.
Pastel Magazine acquires Jezebel from G/O Media.
Samsung launches Flip-park with Iris Agency for Samsung Flip launch.
Johnny Bauer is starting a new brand agency with his Blackstone Team.
What I’ve learned in 20+ years of building startups
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What I’ve learned in 20+ years of building startups…
In the fast-paced world of startups, two decades of experience can teach you invaluable lessons. From the trenches of entrepreneurial ventures, here are the distilled wisdom and key takeaways from a seasoned startup veteran’s 20-plus-year journey.
What I’ve learned in 20+ years of building startups – Summary: The journey of building startups for over 20 years has yielded several crucial lessons:
- Fail Well: Failure is a common part of the startup process, with success in only a fraction of attempts. It’s important to accept failure as a stepping stone.
- Persistence: The key to overall success often lies in sheer perseverance and the refusal to quit, even in the face of early failures.
- The Power of ‘No’: Turning down opportunities, especially during financially tough times, is crucial to avoid burnout and stay true to your goals.
- Work Smart and Hard: While enjoying your work is vital, readiness to put in extra effort when needed is equally important.
- Start Slowly: For new businesses, especially online, it’s advisable to start small and avoid getting entangled in bureaucracy before proving the business model.
- Be Cautious with Growth: Rapid expansion can lead to financial strain. It’s better to grow at a sustainable pace.
- Avoid Corporate Pitfalls: As businesses grow, maintaining a customer-centric and enjoyable work culture is essential, avoiding the trap of becoming overly corporate.
- Embrace Remote Work: If possible, allowing remote work can save costs and increase employee productivity.
- Simplicity in Tools: Using too many apps and tools can be counterproductive. Stick to a few that work best for your team.
- Maintain Relationships: Keeping doors open with past collaborators is crucial, as business landscapes and relationships are ever-changing.
What I’ve learned in 20+ years of building startups – Lessons Learned in Detail
Fail Well. You’ve heard it a million times before: ideas are easy; execution is hard. Execution is incredibly hard. And even if something works well for a while, it might not work sustainably forever. I fail a lot. I’d say my ideas are successful maybe 2/10 times, and that’s probably going easy on myself.
Keep Going. The difference between overall success and failure, is usually as simple as not quitting. Most people don’t have the stomach for point #1 and give up way too quickly.
Saying No. Especially if you didn’t have a particularly good month and it’s coming up on the 1st (bill time), it’s hard to say “No” to new income, but if you know it’s something you’ll hate doing, it could be better in the long-run to not take it or else face getting burnt out.
Work Smart (and sometimes hard). I would hazard to guess that most of us do this because we hate the limitations and grind of the traditional 9-5? Most of us are more likely to be accused of being workaholics rather than being allergic to hard work, but it certainly helps if you enjoy what you do. That said, it can’t be cushy all the time. Sometimes you gotta put in a little elbow grease.
Start Slow. I’ve helped many clients start their own businesses and I always try to urge them to pace themselves. They want instant results and they put the cart before the horse. Especially for online businesses, you don’t need a business license, LLC, trademark, lawyer, and an accountant before you’ve even made your first dollar! Prove that the thing actually works and is making enough money before worrying about all the red tape.
Slow Down Again (when things start to go well). Most company owners get overly excited when things start to go well, start hiring more people, doing whatever they can to pour fuel on the fire, but usually end up suffocating the fire instead. Wait, just wait. Things might plateau or take a dip and suddenly you’re hemorrhaging money.
Fancy Titles. At a certain stage of growth, egos shift, money changes people. What was once a customer-centric company that was fun to work at becomes more corporate by the day. Just because “that’s the way they’ve always done it” in terms of the structure of dino corps of old, that’s never a good reason to keep doing it that way.
Stay Home. If your employee’s work can be done remotely, why are you wasting all that money on office space just to stress your workers out with commute and being somewhere they resent being, which studies have shown only make them less productive anyway?
Keep it Simple. Don’t follow trends and sign you or your team up for every new tool or app that comes along just because they’re popular. Basecamp, Slack, Signal, HubSpot, Hootsuite, Google Workspace, Zoom (I despise Zoom), etc. More apps doesn’t mean more organization. Pick one or two options and use them to their full potential.
Keep Doors Open. While you’ll inevitably become too busy to say “Yes” to everything, try to keep doors open for everyone you’ve already established a beneficial working relationship with. Nothing lasts forever, and that might be the lesson I learned the harshest way of all. More on that below…
What I’ve learned in 20+ years of building startups: A personal note that might be helpful to anyone who’s struggling
Some years back (around 2015), we sold the company my partner and I built that was paying our salaries. During those years, I closed a lot of doors, especially with clients because I was cushy with my salary, and didn’t want to spend time on other relationships and hustles I previously built up over the years.
I had a really rough few years after we sold and the money ran out where I almost threw in the towel and went back to a traditional 9-5 job. I could barely scrape rent together and went without groceries for longer than I’m comfortable admitting.
There’s no shame in doing what you’ve gotta do to keep food on the table, but the thought of “going back” was deeply depressing for me. Luckily, I managed to struggle my way through, building up clients again.
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What I’ve learned in 20+ years of building startups – Conclusion:
Navigating the world of startups requires a balance of resilience, strategic decision-making, and adaptability. The lessons learned over two decades in the startup ecosystem are not just strategies but guiding principles for sustainable success and growth in the dynamic world of entrepreneurship.
If you’re curious about how I make money, most of it has been made building custom products for WordPress.
Source: r/Entrepreneur
What I’ve learned in 20+ years of building startups – References:
- Entrepreneurship Blogs and Websites: Look for blogs from successful entrepreneurs or business coaches. Sites like Entrepreneur (entrepreneur.com), Forbes Entrepreneurs Section (https://forbes.com/entrepreneurs), and Harvard Business Review (hbr.org) often have valuable articles on startup strategies and entrepreneurial journeys.
- Startup Case Studies: Websites like Inc. Magazine (inc.com) and Fast Company (fastcompany.com) frequently publish case studies and stories about startups and entrepreneurial experiences.
- Business and Tech News Websites: Platforms like TechCrunch (techcrunch.com), Business Insider (businessinsider.com), and The Wall Street Journal’s Business section (https://wsj.com/news/business) are good for staying updated on the latest in startup trends and business strategies.
- Remote Work and Productivity Tools Blogs: For insights on remote work and productivity tools, check out blogs from companies like Basecamp (basecamp.com), Slack (https://slack.com/blog), and Zoom (blog.zoom.us).
- Online Business Forums and Communities: Websites like Reddit’s Entrepreneur subreddit (https://reddit.com/r/Entrepreneur) or startup-focused forums on sites like Quora (quora.com) can provide real-world advice and experiences from various business owners.
- LinkedIn Articles and Thought Leaders: Following successful entrepreneurs and business thought leaders on LinkedIn can provide you with a plethora of insights and firsthand accounts of business experiences.
- Business and Entrepreneurship Books: Websites of authors who have written extensively on startups and entrepreneurship, such as Guy Kawasaki or Seth Godin, often have blogs and articles that are invaluable to entrepreneurs.
Examining the Fragmented Data on Black Entrepreneurship in North America
A Daily Chronicle of AI Innovations in December 2023
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Navigating the Future: A Daily Chronicle of AI Innovations in December 2023.
Join us at ‘Navigating the Future,’ your premier destination for unparalleled perspectives on the swift progress and transformative changes in the Artificial Intelligence landscape throughout December 2023. In an era where technology is advancing faster than ever, we immerse ourselves in the AI universe to provide you with daily insights into groundbreaking developments, significant industry shifts, and the visionary thinkers forging our future. Embark with us on this exciting adventure as we uncover the wonders and significant achievements of AI, each and every day.
AI – 2023, a year in review
Well, we are nearly at the end of one of my all time favourite years of being on this planet. Here’s what’s happened in AI in the last 12 months.
January:
Microsoft’s staggering $10 Billion investment in OpenAI makes waves. (Link)
- MIT researchers develop AI that predicts future lung cancer risk. (Link)
February:
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- ChatGPT reached 100 million unique users. (Link)
- Google announced Bard, a conversational Gen AI chatbot powered by LaMDA. (Link)
- Microsoft launched a new Bing Search Engine integrated with ChatGPT. (Link)
- AWS joined forces with Hugging Face to empower AI developers. (Link)
- Meta announced LLaMA, A 65B parameter LLM. (Link)
- Spotify introduced their AI feature called “DJ.” (Link)
- Snapchat announces their AI chatbot ‘My AI’. (Link)
OpenAI introduces ChatGPT Plus, a premium chatbot service.
Microsoft’s new AI-enhanced Bing Search debuts.
March:
- Adobe gets into the generative AI game with Firefly. (Link)
- Canva introduced AI design tools focused on helping workplaces. (Link)
- OpenAI announces GPT-4, accepting text + image inputs. (Link)
- OpenAI has made available APIs for ChatGPT & launched Whisper. (Link)
- HubSpot Introduced new AI tools to boost productivity and save time. (Link)
- Google integrated Al into the Google Workspace. (Link)
- Microsoft combines the power of LLMs with your data. (Link)
- GitHub launched its AI coding assistant, Copilot X. (Link)
- Replit and Google Cloud partner to Advance Gen AI for Software Development. (Link)
- Midjourney’s Version 5 was out! (Link)
- Zoom released an AI-powered assistant, Zoom IQ. (Link)
Midjourney’s V5 elevates AI-driven image creation.
Microsoft rolls out Copilot for Microsoft 365.
Google launches Bard, a ChatGPT competitor.
April:
- AutoGPT unveiled the next-gen AI designed to perform tasks without human intervention. (Link)
- Elon Musk was working on ‘TruthGPT.’ (Link)
- Apple was building a paid AI health coach, which might arrive in 2024. (Link)
- Meta released a new image recognition model, DINOv2. (Link)
- Alibaba announces its LLM, ChatGPT Rival “Tongyi Qianwen”. (Link)
- Amazon releases AI Code Generator – Amazon CodeWhisperer. (Link)
- Google’s Project Magi: A team of 160 working on adding new features to the search engine. (Link)
- Meta introduced: Segment Anything Model – SAM (Link)
- NVIDIA Announces NeMo Guardrails to boost the safety of AI chatbots like ChatGPT. (Link)
Elon Musk and Steve Wozniak lead a petition against AI models surpassing GPT-4.
May:
- Microsoft’s Windows 11 AI Copilot. (Link)
- Sanctuary AI unveiled Phoenix™, its sixth-generation general-purpose robot. (Link)
- Inflection AI Introduces Pi, the personal intelligence. (Link)
- Stability AI released StableStudio, a new open-source variant of its DreamStudio. (Link)
- OpenAI introduced the ChatGPT app for iOS. (Link)
- Meta introduces ImageBind, a new AI research model. (Link)
- Google unveils PaLM 2 AI language model. (Link)
- Geoffrey Hinton, The Godfather of A.I., leaves Google and warns of danger ahead. (Link)
Samsung leads a corporate ban on Gen AI tools over security concerns.
OpenAI adds plugins and web browsing to ChatGPT.
Nvidia’s stock soars, nearing $1 Trillion market cap.
June:
- Apple introduces Apple Vision Pro. (Link)
- McKinsey’s study finds that AI could add up to $4.4 trillion a year to the global economy. (Link)
- Runway’s Gen-2 officially released. (Link)
Adobe introduces Firefly, an advanced image generator.
Accenture announces a colossal $3 billion AI investment.
July:
- Apple trials a ChatGPT-like AI Chatbot, ‘Apple GPT’. (Link)
- Meta introduces Llama2, the next-gen of open-source LLM. (Link)
- Stack Overflow announced OverflowAI. (Link)
- Anthropic released Claude 2, with 200K context capability. (Link)
- Google is building an AI tool for journalists. (Link)
ChatGPT adds code interpretation and data analysis.
Stack Overflow sees traffic halved by Gen AI coding tools.
August:
- OpenAI expands ChatGPT ‘Custom Instructions’ to free users. (Link)
- YouTube runs a test with AI auto-generated video summaries. (Link)
- MidJourney Introduces Vary Region Inpainting feature. (Link)
- Meta’s SeamlessM4T, can transcribe and translate close to 100 languages. (Link)
- Tesla’s new powerful $300 million AI supercomputer is in town! (Link)
Salesforce backs OpenAI rival Hugging Face with over $4 Billion.
ChatGPT Enterprise launches for business use.
September:
- OpenAI upgrades ChatGPT with web browsing capabilities. (Link)
- Stability AI’s first product for music + sound effect generation, Stable Audio. (Link)
- YouTube launched YouTube Create, a new app for mobile creators. (Link)
- Coca-Cola launched a New AI-created flavor. (Link)
- Mistral AI launches open-source LLM, Mistral 7B. (Link)
- Amazon supercharged Alexa with generative AI. (Link)
- Microsoft open sources EvoDiff, a novel protein-generating AI. (Link)
- OpenAI upgraded ChatGPT with voice and image capabilities. (Link)
OpenAI releases Dall-E 3 and multimodal ChatGPT features.
Meta brings AI chatbots to its platforms and more.
October:
- DALL·E 3 made available to all ChatGPT Plus and Enterprise users. (Link)
- Amazon unveiled the humanoid robot, ‘Digit’. (Link)
- ElevenLabs launches Voice Translation Tool to help overcome language barriers. (Link)
- Google tested new ways to get more done right from Search. (Link)
- Rewind Pendant: New AI wearable captures real-world conversations. (Link)
- LinkedIn introduces new AI products & tools. (Link)
Google’s new Pixel phones feature Gen AI.
Epik app’s AI tech reignites 90s nostalgia.
Baidu enters the AI race with its ChatGPT alternative.
November:
- The first-ever AI Safety Summit was hosted by the UK. (Link)
- OpenAI’s New models and products were announced at DevDay. (Link)
- Humane officially launches the AI Pin. (Link)
- Elon Musk launches Grok, a new xAI chatbot to rival ChatGPT. (Link)
- Pika Labs Launches ‘Pika 1.0’. (Link)
- Google DeepMind and YouTube revealed a new AI model called ‘Lyria’. (Link)
- OpenAI delays the launch of the custom GPT store to early 2024. (Link)
- Stable video diffusion is available on the Stability AI platform API. (Link)
- Amazon announced Amazon Q, the AI-powered assistant from AWS. (Link)
- Samsung unveils its own AI, ‘Gauss,’ that can generate text, code, and images. (Link)
- Sam Altman was fired and rehired by OpenAI. (Know What Happened the Night Before Altman’s Firing?)
OpenAI presents Custom GPTs and GPT-4 Turbo.
Ex-Apple team debuts the Humane Ai Pin.
Nvidia’s H200 chips to power future AI.
OpenAI’s Sam Altman in a surprising hire-fire-rehire saga.
December:
- Google launched Gemini, an AI model that rivals GPT-4. (Link)
- AMD releases Instinct MI300X GPU and MI300A APU chips. (Link)
- Midjourney V6 out! (Link)
- Mistral’s new launch Mixtral 8x7B: A leading open SMoE model. (Link)
- Microsoft Released Phi-2, a SLM that beats LIama 2. (Link)
- OpenAI is reportedly about to raise additional funding at a $100B+ valuation. (Link)
Pika Labs’ Pika 1.0 heralds a new age in AI video generation.
Midjourney’s V6 update takes AI imagery further.
A Daily Chronicle of AI Innovations in December 2023 – Day 30: AI Daily News – December 30th, 2023
LG unveils a two-legged AI robot
Former Trump lawyer cited fake court cases generated by AI
Microsoft’s Copilot AI chatbot now available on iOS
LG unveils a two-legged AI robot Source
- LG unveils a new AI agent, an autonomous robot designed to assist with household chores using advanced technologies like voice and image recognition, natural language processing, and autonomous mobility.
- The AI agent is equipped with the Qualcomm Robotics RB5 Platform, features a built-in camera, speaker system, and sensors, and can control smart home devices, monitor pets, and enhance security by patrolling the home and sending alerts.
- LG aims to enhance the smart home experience by having the AI agent greet users, interpret their emotions, and provide personalized assistance, with plans to showcase this technology at the CES.
Microsoft’s Copilot AI chatbot now available on iOS Source
- Microsoft launched its Copilot app, the iOS counterpart to its Android app, providing access to advanced AI features on Apple devices.
- The Copilot app allows users to ask questions, compose emails, summarize text, and generate images with DALL-E3 integration.
- Copilot offers users the more advanced GPT-4 technology for free, unlike ChatGPT which requires a subscription for its latest model.
Silicon Valley eyes reboot of Google Glass-style headsets.LINK
SpaceX launches two rockets—three hours apart—to close out a record year.LINK
Soon, every employee will be both AI builder and AI consumer.LINK
Yes, we’re already talkin’ Apple Vision Pro 2 — how it’s reportedly ‘better’ than the first.LINK
Looking for an AI-safe job? Try writing about wine.LINK
A Daily Chronicle of AI Innovations in December 2023 – Day 29: AI Daily News – December 29th, 2023
Microsoft’s first true ‘AI PCs’
Google settles $5 billion consumer privacy lawsuit
Nvidia to launch slower version of its gaming chip in China
Amazon plans to make its own hydrogen to power vehicles
How AI-created “virtual influencers” are stealing business from humans
Microsoft’s first true ‘AI PCs’ Source
- Microsoft’s upcoming Surface Pro 10 and Surface Laptop 6 are reported to be the company’s first ‘AI PCs’, featuring new neural processing units and support for advanced AI functionalities in the next Windows update.
- The devices will offer options between Qualcomm’s Snapdragon X chips for ARM-based models and Intel’s 14th-gen chips for Intel versions, aiming to boost AI performance, battery life, and security.
- Designed with AI integration in mind, the Surface Pro 10 and Surface Laptop 6 are anticipated to include enhancements like brighter, higher-resolution displays and interfaces like a Windows Copilot button for AI-assisted tasks.
Nvidia to launch slower version of its gaming chip in China Source
- Nvidia launched the GeForce RTX 4090 D, a gaming chip for China that adheres to U.S. export controls.
- The new chip is 5% slower than the banned RTX 4090 but still aims to provide top performance for Chinese consumers.
- With a 90% market share in China’s AI chip industry, the export restrictions may open opportunities for domestic competitors like Huawei.
Amazon plans to make its own hydrogen to power vehicles Source
- Amazon is collaborating with Plug Power to produce hydrogen fuel on-site at its fulfillment center in Aurora, Colorado to power around 225 forklifts.
- The environmental benefits of using hydrogen are under scrutiny as most hydrogen is currently produced from fossil fuels, but Amazon aims for cleaner processes by 2040.
- While aiming for greener hydrogen, Amazon’s current on-site production still involves greenhouse gas emissions due to the use of grid-tied, fossil-fuel-based electricity.
How AI-created “virtual influencers” are stealing business from humans Source
- Aitana Lopez, a pink-haired virtual influencer with over 200,000 social media followers, is AI-generated and gets paid by brands for promotion.
- Human influencers fear income loss due to competition from these digital avatars in the $21 billion content creation economy.
- Virtual influencers have fostered high-profile brand partnerships and are seen as a cost-effective alternative to human influencers.
Language + Vision: How Multimodal LLMs generate images! (Google Gemini)
In this video, the author talks about Multimodal LLMs, Vector-Quantized Variational Autoencoders (VQ-VAEs), and how modern models like Google’s Gemini, Parti, and OpenAI’s Dall E generate images together with text. He tried to cover a lot of bases starting from the very basics (latent space, autoencoders), all the way to more complex topics (like VQ-VAEs, codebooks, etc).
A Daily Chronicle of AI Innovations in December 2023 – Day 28: AI Daily News – December 28th, 2023
LLM Lie Detector catches AI lies
StreamingLLM can handle unlimited input tokens
DeepMind’s Promptbreeder automates prompt engineering
Meta AI decodes brain speech ~ 73% accuracy
Wayve’s GAIA-1 9B enhances autonomous vehicle training
OpenAI’s GPT-4 Vision has a new competitor, LLaVA-1.5
Perplexity.ai and GPT-4 can outperform Google Search
Anthropic’s latest research makes AI understandable
MemGPT boosts LLMs by extending context window
GPT-4V got even better with Set-of-Mark (SoM)
The LLM Scientist Roadmap
Just came across the most comprehensive LLM course on github.
It covers various articles, roadmaps, Colab notebooks, and other learning resources that help you to become an expert in the field:
➡ The LLM architecture
➡ Building an instruction dataset
➡ Pre-training models
➡ Supervised fine-tuning
➡ Reinforcement Learning from Human Feedback
➡ Evaluation
➡ Quantization
➡ Inference optimization
Repo (3.2k stars): https://github.com/mlabonne/llm-course
LLM Lie Detector catching AI lies
This paper discusses how LLMs can “lie” by outputting false statements even when they know the truth. The authors propose a simple lie detector that does not require access to the LLM’s internal workings or knowledge of the truth. The detector works by asking unrelated follow-up questions after a suspected lie and using the LLM’s yes/no answers to train a logistic regression classifier.
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The lie detector is highly accurate and can generalize to different LLM architectures, fine-tuned LLMs, sycophantic lies, and real-life scenarios.
Why does this matter?
The proposed lie detector seems to provide a practical means to address trust-related concerns, enhancing transparency, responsible use, and ethical considerations in deploying LLMs across various domains. Which will ultimately safeguard the integrity of information and societal well-being.
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StreamingLLM for efficient deployment of LLMs in streaming applications
Deploying LLMs in streaming applications, where long interactions are expected, is urgently needed but comes with challenges due to efficiency limitations and reduced performance with longer texts. Window attention provides a partial solution, but its performance plummets when initial tokens are excluded.
Recognizing the role of these tokens as “attention sinks”, new research by Meta AI (and others) has introduced StreamingLLM– a simple and efficient framework that enables LLMs to handle unlimited texts without fine-tuning. By adding attention sinks with recent tokens, it can efficiently model texts of up to 4M tokens. It further shows that pre-training models with a dedicated sink token can improve the streaming performance.
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Here’s an illustration of StreamingLLM vs. existing methods. It firstly decouples the LLM’s pre-training window size and its actual text generation length, paving the way for the streaming deployment of LLMs.
Why does this matter?
The ability to deploy LLMs for infinite-length inputs without sacrificing efficiency and performance opens up new possibilities and efficiencies in various AI applications.
Samsung unveils a new AI fridge that scans food inside to recommend recipes, featuring a 32-inch screen with app integrations. Source
Researchers developed an “electronic tongue” with sensors and deep-learning to accurately measure and analyze complex tastes, with successful wine taste profiling. Source
Resources:
6 unexpected lessons from using ChatGPT for 1 year that 95% ignore
ChatGPT has taken the world by a storm, and billions have rushed to use it – I jumped on the wagon from the start, and as an ML specialist, learned the ins and outs of how to use it that 95% of users ignore.Here are 6 lessons learned over the last year to supercharge your productivity, career, and life with ChatGPT
1. ChatGPT has changed a lot making most prompt engineering techniques useless: The models behind ChatGPT have been updated, improved, fine-tuned to be increasingly better. The Open AI team worked hard to identify weaknesses in these models published across the web and in research papers, and addressed them.
A few examples: one year ago, ChatGPT was (a) bad at reasoning (many mistakes), (b) unable to do maths, and (c) required lots of prompt engineering to follow a specific style.
All of these things are solved now – (a) ChatGPT breaks down reasoning steps without the need for Chain of Thought prompting. (b) It is able to identify maths and to use tools to do maths (similar to us accessing calculators), and (c) has become much better at following instructions.
This is good news – it means you can focus on the instructions and tasks at hand instead of spending your energy learning techniques that are not useful or necessary.
2. Simple straightforward prompts are always superior: Most people think that prompts need to be complex, cryptic, and heavy instructions that will unlock some magical behavior. I consistently find prompt engineering resources that generate paragraphs of complex sentences and market those as good prompts. Couldn’t be further from the truth.
People need to understand that ChatGPT, and most Large Language Models like Bard/Gemini are mathematical models that learn language from looking at many examples, then are fine-tuned on human generated instructions.
This means they will average out their understanding of language based on expressions and sentences that most people use. The simpler, more straightforward your instructions and prompts are, the higher the chances of ChatGPT understanding what you mean.
Drop the complex prompts that try to make it look like prompt engineering is a secret craft. Embrace simple, straightforward instructions. Rather, spend your time focusing on the right instructions and the right way to break down the steps that ChatGPT has to deliver (see next point!)
3. Always break down your tasks into smaller chunks: Everytime I use ChatGPT to operate large complex tasks, or to build complex code, it makes mistakes. If I ask ChatGPT to make a complex blogpost in one go, this is a perfect recipe for a dull, generic result. This is explained by a few things:
a) ChatGPT is limited by the token size limit meaning it can only take a certain amount of inputs and produce a specific amount of outputs.
b) ChatGPT is limited by its reasoning capabilities, the more complex and multi dimensional a task becomes, the more likely ChatGPT will forget parts of it, or just make mistakes.
Instead, you should break down your tasks as much as possible, making it easier for ChatGPT to follow instructions, deliver high quality work, and be guided by your unique spin.
Example: instead of asking ChatGPT to write a blog about productivity at work, break it down as follows – Ask ChatGPT to:
Provide ideas about the most common ways to boost productivity at work
Provide ideas about unique ways to boost productivity at work
Combine these ideas to generate an outline for a blogpost directed at your audience
Expand each section of the outline with the style of writing that represents you the best
Change parts of the blog based on your feedback (editorial review)
Add a call to action at the end of the blog based on the content of the blog it has just generated
This will unlock a much more powerful experience than to just try to achieve the same in one or two steps – while allowing you to add your spin, edit ideas and writing style, and make the piece truly yours.
4. Bard is superior when it comes to facts: while ChatGPT has consistently outperformed Bard on aspects such as creativity, writing style, and even reasoning, if you are looking for facts (and for the ability to verify facts) – Bard is unbeatable.With its access to Google Search, and its fact verification tool, Bard can check and surface sources making it easier than ever to audit its answers (and avoid taking hallucinations as truths!).
If you’re doing market research, or need facts, get those from Bard.
5. ChatGPT cannot replace you, it’s a tool for you – the quicker you get this, the more efficient you’ll become: I have tried numerous times to make ChatGPT do everything on my behalf when creating a blog, when coding, or when building an email chain for my ecommerce businesses. This is the number one error most ChatGPT users make, and will only render your work hollow, empty from any soul, and let’s be frank, easy to spot.
Instead, you must use ChatGPT as an assistant, or an intern. Teach it things. Give it ideas. Show it examples of unique work you want it to reproduce. Do the work of thinking about the unique spin, the heart of the content, the message. It’s okay to use ChatGPT to get a few ideas for your content or for how to build specific code, but make sure you do the heavy lifting in terms of ideation and creativity – then use ChatGPT to help execute.
This will allow you to maintain your thinking/creative muscle, will make your work unique and soulful (in a world where too much content is now soulless and bland), while allowing you to benefit from the scale and productivity that ChatGPT offers.
6. GPT4 is not always better than GPT3.5: it’s normal to think that GPT4, being a newer version of Open AI models, will always outperform GPT3.5. But this is not what my experience shows. When using GPT models, you have to keep in mind what you’re trying to achieve.There is a trade-off between speed, cost, and quality. GPT3.5 is much (around 10 times) faster, (around 10 times) cheaper, and has on par quality for 95% of tasks in comparison to GPT4.In the past, I used to jump on GPT4 for everything, but now I use most intermediary steps in my content generation flows using GPT3.5, and only leave GPT4 for tasks that are more complex and that demand more reasoning.Example: if I am creating a blog, I will use GPT3.5 to get ideas, to build an outline, to extract ideas from different sources, to expand different sections of the outline. I only use GPT4 for the final generation and for making sure the whole text is coherent and unique.
Trick to Adding Text in DALL-E 3!
Three text effects to inspire creativity:
Clear Overlay: Incorporates text as a translucent overlay within the image, harmoniously blending with the theme.
Example: A cyberpunk cityscape with the word ‘Future’ as a translucent overlay.
Decal Design: Features text within a decal-like design that stands out yet complements the image’s theme.
Example: A cartoon of a bear family picnic with the word ‘picnic’ in a sticker-like design.
Sphere: Displays text within a speech or thought sphere, distinct but matching the image’s aesthetic.
Example: Imaginative realms with the word “fantasy” in a bubble or an enchanting scene with “OMG” in a speech bubble.
A Daily Chronicle of AI Innovations in December 2023 – Day 27: AI Daily News – December 27th, 2023
Apple quietly released an open-source multimodal LLM in October
Alibaba announces TF-T2V for text-to-video generation
AI-Powered breakthrough in Antibiotics Discovery
👩⚕️ Scientists from MIT and Harvard have achieved a groundbreaking discovery in the fight against drug-resistant bacteria, potentially saving millions of lives annually.
➰ Utilizing AI, they have identified a new class of antibiotics through the screening of millions of chemical compounds.
⭕ These newly discovered non-toxic compounds have shown promise in killing drug-resistant bacteria, with their effectiveness further validated in mouse experiments.
🌐 This development is crucial as antibiotic resistance poses a severe threat to global health.
〰 According to the WHO, antimicrobial resistance (AMR) was responsible for over 1.27 million deaths worldwide in 2019 and contributed to nearly 5 million additional deaths.
↗ The economic implications are equally staggering, with the World Bank predicting that antibiotic resistance could lead to over $1 trillion in healthcare costs by 2050 and cause annual GDP losses exceeding $1 trillion by 2030.
🙌This scientific breakthrough not only offers hope for saving lives but also holds the potential to significantly mitigate the looming economic impact of AMR.
Source: https://lnkd.in/dSbG6qcj
Apple quietly released an open-source multimodal LLM in October
Researchers from Apple and Columbia University released an open-source multimodal LLM called Ferret in October 2023. At the time, the release– which included the code and weights but for research use only, not a commercial license– did not receive much attention.
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The chatter increased recently because Apple announced it had made a key breakthrough in deploying LLMs on iPhones– it released two new research papers introducing new techniques for 3D avatars and efficient language model inference. The advancements were hailed as potentially enabling more immersive visual experiences and allowing complex AI systems to run on consumer devices such as the iPhone and iPad.
Why does this matter?
Ferret is Apple’s unexpected entry into the open-source LLM landscape. Also, with open-source models from Mistral making recent headlines and Google’s Gemini model coming to the Pixel Pro and eventually to Android, there has been increased chatter about the potential for local LLMs to power small devices.
Microsoft introduces WaveCoder, a fine-tuned Code LLM
New Microsoft research studies the effect of multi-task instruction data on enhancing the generalization ability of Code LLM. It introduces CodeOcean, a dataset with 20K instruction instances on four universal code-related tasks.
This method and dataset enable WaveCoder, which significantly improves the generalization ability of foundation model on diverse downstream tasks. WaveCoder has shown the best generalization ability among other open-source models in code repair and code summarization tasks, and can maintain high efficiency on previous code generation benchmarks.
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Why does this matter?
This research offers a significant contribution to the field of instruction data generation and fine-tuning models, providing new insights and tools for enhancing performance in code-related tasks.
Alibaba announces TF-T2V for text-to-video generation
Diffusion-based text-to-video generation has witnessed impressive progress in the past year yet still falls behind text-to-image generation. One of the key reasons is the limited scale of publicly available data, considering the high cost of video captioning. Instead, collecting unlabeled clips from video platforms like YouTube could be far easier.
Motivated by this, Alibaba Group’s research has come up with a novel text-to-video generation framework, termed TF-T2V, which can directly learn with text-free videos. It also explores its scaling trend. Experimental results demonstrate the effectiveness and potential of TF-T2V in terms of fidelity, controllability, and scalability.
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Why does this matter?
Different from most prior works that rely heavily on video-text data and train models on the widely-used watermarked and low-resolution datasets, TF-T2V opens up new possibilities for optimizing with text-free videos or partially paired video-text data, making it more scalable and versatile in widespread scenarios, such as high-definition video generation.
What Else Is Happening in AI on December 27th, 2023
Apple’s iPhone design chief enlisted by Jony Ive & Sam Altman to work on AI devices.
Sam Altman and legendary designer Jony Ive are enlisting Apple Inc. veteran Tang Tan to work on a new AI hardware project to create devices with the latest capabilities. Tan will join Ive’s design firm, LoveFrom, which will shape the look and capabilities of the new products. Altman plans to provide the software underpinnings. (Link)
Microsoft Copilot AI gets a dedicated app on Android; no sign-in required.
Microsoft released a new dedicated app for Copilot on Android devices. The free app is available for download today, and an iOS version will launch soon. Unlike Bing, the app focuses solely on delivering access to Microsoft’s AI chat assistant. There’s no clutter from Bing’s search experience or rewards, but you will still find ads. (Link)
Salesforce posts a new AI-enabled commercial promoting “Ask More of AI”.
It is part of its “Ask More of AI” campaign featuring Salesforce pitchman and ambassador Matthew McConaughey. (Link)
AI is telling bedtime stories to your kids now.
AI can now tell tales featuring your kids’ favorite characters. However, it’s copyright chaos– and a major headache for parents and guardians. One such story generator called Bluey-GPT begins each session by asking kids their name, age, and a bit about their day, then churns out personalized tales starring Bluey and her sister Bingo. (Link)
Researchers have a magic tool to understand AI: Harry Potter.
J.K. Rowling’s Harry Potter is finding renewed relevance in a very different body of literature: AI research. A growing number of researchers are using the best-selling series to test how generative AI systems learn and unlearn certain pieces of information. A notable recent example is a paper titled “Who’s Harry Potter?”. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 26: AI Daily News – December 26th, 2023
Meta’s 3D AI for everyday devices
Can a SoTA LLM run on a phone without internet?
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering Guide,” available at Etsy, Shopify, Apple, Google, or Amazon
Meta’s 3D AI for everyday devices
Meta research and Codec Avatars Lab (with MIT) have proposed PlatoNeRF, a method to recover scene geometry from a single view using two-bounce signals captured by a single-photon lidar. It reconstructs lidar measurements with NeRF, which enables physically-accurate 3D geometry to be learned from a single view.
The method outperforms related work in single-view 3D reconstruction, reconstructs scenes with fully occluded objects, and learns metric depth from any view. Lastly, the research demonstrates generalization to varying sensor parameters and scene properties.
Why does this matter?
The research is a promising direction as single-photon lidars become more common and widely available in everyday consumer devices like phones, tablets, and headsets.
ByteDance presents DiffPortrait3D for zero-shot portrait view
ByteDance research presents DiffPortrait3D, a novel conditional diffusion model capable of generating consistent novel portraits from sparse input views.
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Given a single portrait as reference (left), DiffPortrait3D is adept at producing high-fidelity and 3d-consistent novel view synthesis (right). Notably, without any finetuning, DiffPortrait3D is universally effective across a diverse range of facial portraits, encompassing, but not limited to, faces with exaggerated expressions, wide camera views, and artistic depictions.
Why does this matter?
The framework opens up possibilities for accessible 3D reconstruction and visualization from a single picture.
Can a SoTA LLM run on a phone without internet?
Amidst the rapid evolution of generative AI, on-device LLMs offer solutions to privacy, security, and connectivity challenges inherent in cloud-based models.
New research at Haltia, Inc. explores the feasibility and performance of on-device large language model (LLM) inference on various Apple iPhone models. Leveraging existing literature on running multi-billion parameter LLMs on resource-limited devices, the study examines the thermal effects and interaction speeds of a high-performing LLM across different smartphone generations. It presents real-world performance results, providing insights into on-device inference capabilities.
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It finds that newer iPhones can handle LLMs, but achieving sustained performance requires further advancements in power management and system integration.
Why does this matter?
Running LLMs on smartphones or even other edge devices has significant advantages. This research is pivotal for enhancing AI processing on mobile devices and opens avenues for privacy-centric and offline AI applications.
What Else Is Happening in AI on December 26th, 2023
Apple reportedly wants to use the news to help train its AI models.
Apple is talking with some big news publishers about licensing their news archives and using that information to help train its generative AI systems in “multiyear deals worth at least $50M. It has been in touch with publications like Condé Nast, NBC News, and IAC. (Link)
Sam Altman-backed Humane to ship ChatGPT-powered AI Pin starting March 2024.
Humane plans to prioritize the dispatch of products to customers with priority orders. Orders will be shipped in chronological order by whoever placed their order first. The Ai Pin, with the battery booster, will cost $699. A monthly charge of $24 for a Humane subscription offers cellular connectivity, a dedicated number, and data coverage. (Link)
OpenAI seeks fresh funding round at a valuation at or above $100 billion.
Investors potentially involved have been included in preliminary discussions. Details like the terms, valuation, and timing of the funding round are yet to finalize and could still change. If the round happens, OpenAI would become the second-most valuable startup in the US, behind Elon Musk’s SpaceX. (Link)
AI companies are required to disclose copyrighted training data under a new bill.
Two lawmakers filed a bill requiring creators of foundation models to disclose sources of training data so copyright holders know their information was taken. The AI Foundation Model Transparency Act– filed by Reps. Anna Eshoo (D-CA) and Don Beyer (D-VA) – would direct the Federal Trade Commission (FTC) to work with the NIST to establish rules. (Link)
AI discovers a new class of antibiotics to kill drug-resistant bacteria.
AI has helped discover a new class of antibiotics that can treat infections caused by drug-resistant bacteria. This could help in the battle against antibiotic resistance, which was responsible for killing more than 1.2 million people in 2019– a number expected to rise in the coming decades. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 25: AI Daily News – December 25th, 2023
Why Incumbents LOVE AI by Shomik Ghosh
Startup productivity in the age of AI by jason@calacanis.com
Practical Tips for Finetuning LLMs Using LoRA by Sebastian Raschka, PhD
“Math is hard” — if you are an LLM – and why that matters by Gary Marcus
OpenAI’s alignment problem by Casey Newton
How to create consistent characters in Midjourney by Linus Ekenstam
The Mobile Revolution vs. The AI Revolution by Rex Woodbury
AI Unraveled:
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Master GPT-4, Gemini, Generative AI & LLMs – Simplified Guide for Everyday Users: Demystifying Artificial Intelligence – OpenAI, ChatGPT, Google Bard, AI ML Quiz, AI Certifications Prep, Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon
Why Incumbents LOVE AI
Since the release of ChatGPT, we have seen an explosion of startups like Jasper, Writer AI, Stability AI, and more.
Far from it: Adobe released Firefly, Intercom launched Fin, heck even Coca-Cola embraced stable diffusion and made a freaking incredible ad (below)!
So why are incumbents and enterprises able to move so quickly? Here are some brief thoughts on it by Shomik Ghosh
- LLMs are not a new platform: Unlike massive tech AND org shifts like Mobile or Cloud, adopting AI doesn’t entail a massive tech or organizational overhaul. It is an enablement shift (with data enterprises already have).
- Talent retention is hard…except when AI is involved: AI is a retention tool. For incumbents, the best thing to happen is to be able to tell the best engineers who have been around for a while that they get to work on something new.
The article also talks about the opportunities ahead.
Tutorial: How to make and share custom GPTs
This tutorial by Charlie Guo explains how to create and share custom GPTs (Generative Pre-Trained Transformers). GPTs are pre-packaged versions of ChatGPT with customizations and additional features. They can be used for various purposes, such as creative writing, coloring book generation, negotiation, and recipe building.
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GPTs are different from plugins in that they offer more capabilities and can be chosen at the start of a conversation. The GPT Store, similar to an app store, will soon be launched by OpenAI, allowing users to browse and save publicly available GPTs. The tutorial provides step-by-step instructions on building a GPT and publishing it.
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Example: MedumbaGPT
Creating a custom GPT model to help people learn the Medumba language, a Bantu language spoken in Cameroon, is an exciting project. Here’s a step-by-step plan to bring this idea to fruition:
1. Data Collection and Preparation
- Gather Data: Compile a comprehensive dataset of the Medumba language, including common phrases, vocabulary, grammar rules, and conversational examples. Ensure the data is accurate and diverse.
- Data Processing: Format and preprocess the data for model training. This might include translating phrases to and from Medumba, annotating grammatical structures, and organizing conversational examples.
2. Model Training
- Select a Base Model: Choose a suitable base GPT model. For a language-learning application, a model that excels in natural language understanding and generation would be ideal.
- Fine-Tuning: Use your Medumba dataset to fine-tune the base GPT model. This process involves training the model on your specific dataset to adapt it to the nuances of the Medumba language.
3. Application Development
- Web Interface: Develop a user-friendly web interface where users can interact with the GPT model. This interface should be intuitive and designed for language learning.
- Features: Implement features like interactive dialogues, language exercises, translations, and grammar explanations. Consider gamification elements to make learning engaging.
4. Integration and Deployment
- Integrate GPT Model: Integrate the fine-tuned GPT model with the web application. Ensure the model’s responses are accurate and appropriate for language learners.
- Deploy the Application: Choose a reliable cloud platform for hosting the application. Ensure it’s scalable to handle varying user loads.
5. Testing and Feedback
- Beta Testing: Before full launch, conduct beta testing with a group of users. Gather feedback on the application’s usability and the effectiveness of the language learning experience.
- Iterative Improvement: Use feedback to make iterative improvements to the application. This might involve refining the model, enhancing the user interface, or adding new features.
6. Accessibility and Marketing
- Make It Accessible: Ensure the application is accessible to your target audience. Consider mobile responsiveness and multilingual support.
- Promotion: Use social media, language learning forums, and community outreach to promote your application. Collaborating with language learning communities can also help in gaining visibility.
7. Maintenance and Updates
- Regular Updates: Continuously update the application based on user feedback and advancements in AI. This includes updating the language model and the application features.
- Support & Maintenance: Provide support for users and maintain the infrastructure to ensure smooth operation.
Technical and Ethical Considerations
- Data Privacy: Adhere to data privacy laws and ethical guidelines, especially when handling user data.
- Cultural Sensitivity: Ensure the representation of the Medumba language and culture is respectful and accurate.
Collaboration and Funding
- Consider collaborating with linguists, language experts, and AI specialists.
- Explore funding options like grants, crowdfunding, or partnerships with educational institutions.
Startup productivity in the age of AI: automate, deprecate, delegate (A.D.D.)
The article by jason@calacanis.com discusses the importance of implementing the A.D.D. framework (automate, deprecate, delegate) in startups to increase productivity in the age of AI. It emphasizes the need to automate tasks that can be done with software, deprecate tasks that have little impact, and delegate tasks to lower-salaried individuals.
The article also highlights the importance of embracing the automation and delegation of work, as it allows for higher-level and more meaningful work to be done. The A.D.D. framework is outlined with steps on how to implement it effectively. The article concludes by emphasizing the significance of this framework in the current startup landscape.
Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation)
LoRA is among the most widely used and effective techniques for efficiently training custom LLMs. For those interested in open-source LLMs, it’s an essential technique worth familiarizing oneself with.
In this insightful article, Sebastian Raschka, PhD discusses the primary lessons derived from his experiments. Additionally, he addresses some of the frequently asked questions related to the topic. If you are interested in finetuning custom LLMs, these insights will save you some time in “the long run” (no pun intended).
The interface era of AI
In this article, the author Nathan Lambert explains the era of AI interfaces, where evaluation is about the collective abilities of AI models tested in real open-ended use. Vibes-based evaluations and secret prompts are becoming popular among researchers to assess models. Deploying and interaction with models are crucial steps in the workflow, and engineering prowess is essential for successful research.
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Chat-based AI interfaces are gaining prominence over search, and they may even integrate product recommendations into model tuning. The future will see AI-powered hardware devices, such as smart glasses and AI pins, that will revolutionize interactions with AI. Apple’s AirPods with cameras could be a game-changer in this space.
A Daily Chronicle of AI Innovations in December 2023 – Day 23: AI Daily News – December 23rd, 2023
Apple wants to use the news to help train its AI models
OpenAI in talks to raise new funding at $100 bln valuation
AI companies would be required to disclose copyrighted training data under new bill
80% of Americans think presenting AI content as human-made should be illegal
Microsoft just paid $76 million for a Wisconsin pumpkin farm
Google DeepMind’s LLM solves complex math
ByteDance secretly uses OpenAI’s Tech
OpenAI’s new ‘Preparedness Framework’ to track AI risks
NVIDIA’s new GAvatar creates realistic 3D avatars
Google’s VideoPoet is the ultimate all-in-one video AI
Runway introduces text-to-speech and video ratios for Gen-2
Alibaba’s DreaMoving produces HQ customized human videos
Nvidia’s biggest Chinese competitor unveils cutting-edge AI GPUs
Meta’s Fairy can generate videos 44x faster
Midjourney V6 has enhanced prompting and coherence
Apple wants to use the news to help train its AI models
- Apple is in talks with major publishers like Condé Nast and NBC News to license news archives for training its AI, with potential deals worth $50 million.
- Publishers show mixed reactions, concerned about legal liabilities from Apple’s use of their content, while some are positive about the partnership.
- While Apple has been less noticeable in AI advancements compared to OpenAI and Google, it’s actively investing in AI research, including improving Siri and other AI features for future iOS releases.
- Source
OpenAI in talks to raise new funding at $100 bln valuation
- OpenAI is in preliminary talks for a new funding round at a valuation of $100 billion or more, potentially becoming the second-most valuable startup in the U.S. after SpaceX, with details yet to be finalized.
- The company is also completing a separate tender offer allowing employees to sell shares at an $86 billion valuation, reflecting its rapid growth spurred by the success of ChatGPT and significant interest in AI technology.
- Amidst this growth, OpenAI is discussing raising $8 to $10 billion for a new chip venture, aiming to compete with Nvidia in the AI chip market, even as it navigates recent leadership changes and strategic partnerships.
- Source
AI companies would be required to disclose copyrighted training data under new bill
- The AI Foundation Model Transparency Act requires foundation model creators to disclose their sources of training data to the FTC and align with NIST’s AI Risk Management Framework, among other reporting requirements.
- The legislation emphasizes training data transparency and includes provisions for AI developers to report on “red teaming” efforts, model limitations, and computational power used, addressing concerns about copyright, bias, and misinformation.
- The bill seeks to establish federal rules for AI transparency and is pending committee assignment and discussion amidst a busy election campaign season.
- Source
80% of Americans think presenting AI content as human-made should be illegal
- According to a survey by the AI Policy Institute, 80% of Americans believe it should be illegal to present AI-generated content as human-made, reflecting broad concern over ethical implications in journalism and media.
- Despite Sports Illustrated’s denial of using AI for content creation, the public’s overwhelming disapproval suggests a significant demand for transparency and proper disclosure in AI-generated content.
- The survey also indicated strong bipartisan agreement on the ethical concerns and legal implications of using AI in media, with 84% considering the deceptive use of AI unethical and 80% supporting its illegalization.
Source
🧮 Google DeepMind’s LLM solves complex math
Google DeepMind’s latest Large Language Model (LLM) showcased its remarkable capability by solving intricate mathematical problems. This advancement demonstrates the potential of LLMs in complex problem-solving and analytical tasks.
📘 OpenAI released its Prompt Engineering Guide
OpenAI released a comprehensive Prompt Engineering Guide, offering valuable insights and best practices for effectively interacting with AI models. This guide is a significant resource for developers and researchers aiming to maximize the potential of AI through optimized prompts.
🤫 ByteDance secretly uses OpenAI’s Tech
Reports emerged that ByteDance, the parent company of TikTok, has been clandestinely utilizing OpenAI’s technology. This revelation highlights the widespread and sometimes undisclosed adoption of advanced AI tools in the tech industry.
🔥 OpenAI’s new ‘Preparedness Framework’ to track AI risks
OpenAI introduced a ‘Preparedness Framework’ designed to monitor and assess risks associated with AI developments. This proactive measure aims to ensure the safe and ethical progression of AI technologies.
🚀 Google Research’s new approach to improve performance of LLMs
Google Research unveiled a novel approach aimed at enhancing the performance of Large Language Models. This breakthrough promises to optimize LLMs, making them more efficient and effective in processing and generating language.
🖼️ NVIDIA’s new GAvatar creates realistic 3D avatars
NVIDIA announced its latest innovation, GAvatar, a tool capable of creating highly realistic 3D avatars. This technology represents a significant leap in digital imagery, offering new possibilities for virtual reality and digital representation.
🎥 Google’s VideoPoet is the ultimate all-in-one video AI
Google introduced VideoPoet, a comprehensive AI tool designed to revolutionize video creation and editing. VideoPoet combines multiple functionalities, streamlining the video production process with AI-powered efficiency.
🎵 Microsoft Copilot turns your ideas into songs with Suno
Microsoft Copilot, in collaboration with Suno, unveiled an AI-powered feature that transforms user ideas into songs. This innovative tool opens new creative avenues for music production and songwriting.
💡 Runway introduces text-to-speech and video ratios for Gen-2
Runway introduced new features in its Gen-2 version, including advanced text-to-speech capabilities and customizable video ratios. These enhancements aim to provide users with more creative control and versatility in content creation.
🎬 Alibaba’s DreaMoving produces HQ customized human videos
Alibaba’s DreaMoving project marked a significant advancement in AI-generated content, producing high-quality, customized human videos. This technology heralds a new era in personalized digital media.
💻 Apple optimizes LLMs for Edge use cases
Apple announced optimizations to its Large Language Models specifically for Edge use cases. This development aims to enhance AI performance in Edge computing, offering faster and more efficient AI processing closer to the data source.
🚀 Nvidia’s biggest Chinese competitor unveils cutting-edge AI GPUs
Nvidia’s leading Chinese competitor made a bold move by unveiling its own range of cutting-edge AI GPUs. This development signals increasing global competition in
A Daily Chronicle of AI Innovations in December 2023 – Day 22: AI Daily News – December 22nd, 2023
Meta’s Fairy can generate videos 44x faster
Midjourney V6 has enhanced prompting and coherence
Hyperloop One is shutting down
Google might already be replacing some human workers with AI
British teenager behind GTA 6 hack receives indefinite hospital order
Intel CEO says Nvidia was ‘extremely lucky’ to become the dominant force in AI
Microsoft is stopping its Windows mixed reality platform
Meta’s Fairy can generate videos 44x faster
GenAI Meta research has introduced Fairy, a minimalist yet robust adaptation of image-editing diffusion models, enhancing them for video editing applications. Fairy not only addresses limitations of previous models, including memory and processing speed. It also improves temporal consistency through a unique data augmentation strategy.
Remarkably efficient, Fairy generates 120-frame 512×384 videos (4-second duration at 30 FPS) in just 14 seconds, outpacing prior works by at least 44x. A comprehensive user study, involving 1000 generated samples, confirms that the approach delivers superior quality, decisively outperforming established methods.
Why does this matter?
Fairy offers a transformative approach to video editing, building on the strengths of image-editing diffusion models. Moreover, it tackles the memory and processing speed constraints observed in preceding models along with quality. Thus, it firmly establishes its superiority, as further corroborated by the extensive user study.
NVIDIA presents a new text-to-4D model
NVIDIA research presents Align Your Gaussians (AYG) for high-quality text-to-4D dynamic scene generation. It can generate diverse, vivid, detailed and 3D-consistent dynamic 4D scenes, achieving state-of-the-art text-to-4D performance.
AYG uses dynamic 3D Gaussians with deformation fields as its dynamic 4D representation. An advantage of this representation is its explicit nature, which allows us to easily compose different dynamic 4D assets in large scenes. AYG’s dynamic 4D scenes are generated through score distillation, leveraging composed text-to-image, text-to-video and 3D-aware text-to-multiview-image latent diffusion models.
Why does this matter?
AYG can open up promising new avenues for animation, simulation, digital content creation, and synthetic data generation, where AYG takes a step beyond the literature on text-to-3D synthesis and also captures our world’s rich temporal dynamics.
Midjouney V6 has improved prompting and image coherence
Midjourney has started alpha-testing its V6 models. Here is what’s new in MJ V6:
- Much more accurate prompt following as well as longer prompts
- Improved coherence, and model knowledge
- Improved image prompting and remix
- Minor text drawing ability
- Improved upscalers, with both ‘subtle‘ and ‘creative‘ modes (increases resolution by 2x)
An entirely new prompting method had been developed, so users will need to re-learn how to prompt.
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Why does this matter?
By the looks of it on social media, users seem to like version 6 much better. Midjourney’s prompting had long been somewhat esoteric and technical, which now changes. Plus, in-image text is something that has eluded Midjourney since its release in 2022 even as other rival AI image generators such as OpenAI’s DALL-E 3 and Ideogram had launched this type of feature.
Google might already be replacing some human workers with AI
- Google is considering the use of AI to “optimize” its workforce, potentially replacing human roles in its large customer sales unit with AI tools that automate tasks previously done by employees overseeing relationships with major advertisers.
- The company’s Performance Max tool, enhanced with generative AI, now automates ad creation and placement across various platforms, reducing the need for human input and significantly increasing efficiency and profit margins.
- While the exact impact on Google’s workforce is yet to be determined, a significant number of the 13,500 people devoted to sales work could be affected, with potential reassignments or layoffs expected to be announced in the near future.
- Source
Intel CEO says Nvidia was ‘extremely lucky’ to become the dominant force in AI
- Intel CEO Pat Gelsinger suggests Nvidia’s AI dominance is due to luck and Intel’s inactivity, while highlighting past mistakes like canceling the Larrabee project as missed opportunities.
- Gelsinger aims to democratize AI at Intel with new strategies like neural processing units in CPUs and open-source software, intending to revitalize Intel’s competitive edge.
- Nvidia’s Bryan Catanzaro rebuts Gelsinger, attributing Nvidia’s success to clear vision and execution rather than luck, emphasizing the strategic differences between the companies.
- Source
Microsoft is stopping its Windows mixed reality platform
- Microsoft has ended the “mixed reality” feature in Windows which combined augmented and virtual reality capabilities.
- The mixed reality portal launched in 2017 is being removed from Windows, affecting users with VR headsets.
- Reports suggest Microsoft may also discontinue its augmented reality headset, HoloLens, after cancelling plans for a third version.
- Source
2024: 12 predictions for AI, including 6 moonshots
- MLMs – Immerse Yourself in Multimodal Generation: The progression towards fully generative multimodal models is accelerating. 2022 marked a breakthrough in text generation, while 2023 witnessed the rise of Gemini-like models that encompass multimodal capabilities. By 2024, we envision a future where these models will seamlessly generate music, videos, text, and construct immersive narratives lasting several minutes, all at an accessible cost and with quality comparable to 4K cinema. Brace yourself Multimedia Large models are coming. likelihood 8/10.
- SLMs- Going beyond Search and Generative dichotomy: LLMs and search are two facets of a unified cognitive process. LLMs utilise search results as dynamic input for their prompts, employing a retrieval-augmented generation (RAG) mechanism. Additionally, they leverage search to validate their generated text. Despite this symbiotic relationship, LLMs and search remain distinct entities, with search acting as an external and resource-intensive scaffolding for LLMs. Is there a more intelligent approach that seamlessly integrates these two components into a unified system? The word is ready for Search large models or, shortly, SLMs. likelihood 8/10.
- RLMs – Relevancy is the king, hallucinations are bad: LLMs have been likened to dream machines which can hallucinate, and this capability it has been considered not a bug but a ‘feature’. I disagree: while hallucinations can occasionally trigger serendipitous discoveries, it’s crucial to distinguish between relevant and irrelevant information. We can expect to see an increasing incorporation of relevance signals into transformers, echoing the early search engines that began utilising link information such as PageRank to enhance the quality of results. For LLMs, the process would be analogous, with the only difference being that the generated information is not retrieved but created. The era of Relevant large models is upon us. likelihood 10/10.
- LinWindow – Going beyond quadratic context window: The transformer architecture’s attention mechanism employs a context window, which inherently presents a quadratic computational complexity challenge. A larger context window would significantly enhance the ability to incorporate past chat histories and dynamically inject content at prompt time. While several approaches have been proposed to alleviate this complexity by employing approximation schemes, none have matched the performance of the quadratic attention mechanism. Is there a more intelligent alternative approach? (Mamba is a promising paper) In short, we need LinWindow. likelihood 6/10.
- AILF – AI Lingua Franca: AILF As the field of artificial intelligence (AI) continues to evolve at an unprecedented pace, we are witnessing a paradigm shift from siloed AI models to unified AI platforms. Much like Kubernetes emerged as the de facto standard for container orchestration, could a single AI platform emerge as the lingua franca of AI, facilitating seamless integration and collaboration across various AI applications and domains? likelihood 8/10.
- CAIO – Chief AI Officer (CAIO): The role of the CAIO will be rapidly gaining prominence as organisations recognise the transformative potential of AI. As AI becomes increasingly integrated into business operations, the need for a dedicated executive to oversee and guide AI adoption becomes more evident. The CAIO will serve as the organisation’s chief strategist for AI, responsible for developing a comprehensive AI strategy that aligns with the company’s overall business goals. They will also be responsible for overseeing the implementation and deployment of AI initiatives across the organization, ensuring that AI is used effectively and responsibly. In addition, they will also play a critical role in managing the organisation’s AI ethics and governance framework. likelihood 10/10.
- [Moonshot] InterAI – Models are connected everywhere: With the advent of Gemini, we’ve witnessed a surge in the development of AI models tailored for specific devices, ranging from massive cloud computing systems to the mobile devices held in our hands. The next stage in this evolution is to interconnect these devices, forming a network of intelligent AI entities that can collaborate and determine the most appropriate entity to provide a specific response in an economical manner. Imagine a federated AI system with routing and selection mechanisms, distributed and decentralised. In essence, InterAI is the future of the interNet. likelihood 3/10.
- [Moonshot] NextLM – Beyond Transformers and Diffusion: The transformer architecture, introduced in a groundbreaking 2017 paper from Google, reigns supreme in the realm of AI technology today. Gemini, Bard, PaLM, ChatGPT, Midjourney, GitHub Copilot, and other groundbreaking generative AI models and products are all built upon the foundation of transformers. Diffusion models, employed by Stability and Google ImageGen for image, video, and audio generation, represent another formidable approach. These two pillars form the bedrock of modern generative AI. Could 2024 witness the emergence of an entirely new paradigm? likelihood 3/10.
- [Moonshot] NextLearn: In 2022, I predicted the emergence of a novel learning algorithm, but that prediction did not materialize in 2023. However, Geoffrey Hinton’s Forward-Forward algorithm presented a promising approach that deviates from the traditional backpropagation method by employing two forward passes, one with real data and the other with synthetic data generated by the network itself. While further research is warranted, Forward-Forward holds the potential for significant advancements in AI. More extensive research is required – likelihood 2/10.
- [Moonshot] FullReasoning – LLMs are proficient at generating hypotheses, but this only addresses one aspect of reasoning. The reasoning process encompasses at least three phases: hypothesis generation, hypothesis testing, and hypothesis refinement. During hypothesis generation, the creative phase unfolds, including the possibility of hallucinations. During hypothesis testing, the hypotheses are validated, and those that fail to hold up are discarded. Optionally, hypotheses are refined, and new ones emerge as a result of validation. Currently, language models are only capable of the first phase. Could we develop a system that can rapidly generate numerous hypotheses in an efficient manner, validate them, and then refine the results in a cost-effective manner? CoT, ToT, and implicit code executionrepresent initial steps in this direction. A substantial body of research is necessary – likelihood 2/10.
- [Moonshot] NextProcessor – The rapid advancement of artificial intelligence (AI) has placed a significant strain on the current computing infrastructure, particularly GPUs (graphics processing units) and TPUs (Tensor Processing Units). As AI models become increasingly complex and data-intensive, these traditional hardware architectures are reaching their limits. To accommodate the growing demands of AI, a new paradigm of computation is emerging that transcends the capabilities of GPUs and TPUs. This emerging computational framework, often referred to as “post-Moore” computing, is characterized by a departure from the traditional von Neumann architecture, which has dominated computing for decades. Post-Moore computing embraces novel architectures and computational principles that aim to address the limitations of current hardware and enable the development of even more sophisticated AI models. The emergence of these groundbreaking computing paradigms holds immense potential to revolutionise the field of AI, enabling the development of AI systems that are far more powerful, versatile, and intelligent than anything we have witnessed to date. likelihood 3/10
- [Moonshot] QuanTransformer – The Transformer architecture, a breakthrough in AI, has transformed the way machines interact with and understand language. Could the merging of Transformer with Quantum Computing provide an even greater leap forward in our quest for artificial intelligence that can truly understand the world around us? QSANis a baby step in that direction. likelihood 2/10.
As we look ahead to 2024, the field of AI stands poised to make significant strides, revolutionizing industries and shaping our world in profound ways. The above 12 predictions for AI in 2024, including 6 ambitious moonshot projects could push the boundaries of what we thought possible paving the way to more powerful AIs. What are your thoughts?
Source: Antonio Giulli
AI Robot chemist discovers molecule to make oxygen on Mars
Source: (Space.com and USA Today)
Quick Overview:
Calculating the 3.7 million molecules that could be created from the six different metallic elements in Martian rocks may have been difficult without the help of AI.
Any crewed journey to Mars will require a method of creating and maintaining sufficient oxygen levels to sustain human life; instead of bringing enormous oxygen tanks, finding a technique to manufacture oxygen on Mars is a more beneficial concept.
They plan to extract water from Martian ice, which includes a large amount of water that is then able to be divided into oxygen and hydrogen.
What Else Is Happening in AI on December 22nd, 2023
Google AI research has developed ‘Hold for Me’ and a Magic Eraser update.
It is an AI-driven technology that processes audio directly on your Pixel device and can determine whether you’ve been placed on hold or if someone has picked up the call. Also, Magic Eraser now uses gen AI to fill in details when users remove unwanted objects from photos. (Link)
Google is rolling out ‘AI support assistant’ chatbot to provide product help.
When visiting the support pages for some Google products, now you’ll encounter a “Hi, I’m a new Al support assistant. Chat with me to find answers and solve account issues” dialog box in the bottom-right corner of your screen. (Link)
Dictionary selected “Hallucinate” as its 2023 Word of the Year.
This points to its AI context, meaning “to produce false information and present it as fact.” AI hallucinations are important for the broader world to understand. (Link)
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Chatty robot helps seniors fight loneliness through AI companionship.
Robot ElliQ, whose creators, Intuition Robotics, and senior assistance officials say it is the only device using AI specifically designed to lessen the loneliness and isolation experienced by many older Americans. (Link)
Google Gemini Pro falls behind free ChatGPT, says study.
A recent study by Carnegie Mellon University (CMU) shows that Google’s latest large language model, Gemini Pro, lags behind GPT-3.5 and far behind GPT-4 in benchmarks. The results contradict the information provided by Google at the Gemini presentation. This highlights the need for neutral benchmarking institutions or processes. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 21: AI Daily News – December 21st, 2023
Alibaba’s DreaMoving produces HQ customized human videos
Nvidia’s biggest Chinese competitor unveils cutting-edge AI GPUs
Scientists discover first new antibiotics in over 60 years using AI
The brain-implant company going for Neuralink’s jugular
E-scooter giant Bird files for bankruptcy
Apple wants AI to run directly on its hardware instead of in the cloud
Apple reportedly plans Vision Pro launch by February
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon
Alibaba’s DreaMoving produces HQ customized human videos
Alibaba’s Animate Anyone saga continues, now with the release of DreaMoving by its research. DreaMoving is a diffusion-based, controllable video generation framework to produce high-quality customized human videos.
It can generate high-quality and high-fidelity videos given guidance sequence and simple content description, e.g., text and reference image, as input. Specifically, DreaMoving demonstrates proficiency in identity control through a face reference image, precise motion manipulation via a pose sequence, and comprehensive video appearance control prompted by a specified text prompt. It also exhibits robust generalization capabilities on unseen domains.
Why does this matter?
DreaMoving sets a new standard in the field after Animate Anyone, facilitating the creation of realistic human videos/animations. With video content ruling social and digital landscapes, such frameworks will play a pivotal role in shaping the future of content creation and consumption. Instagram and Titok reels can explode with this since anyone can create short-form videos, potentially threatening influencers.
Apple optimises LLMs for Edge use cases
Apple has published a paper, ‘LLM in a flash: Efficient Large Language Model Inference with Limited Memory’, outlining a method for running LLMs on devices that surpass the available DRAM capacity. This involves storing the model parameters on flash memory and bringing thn-feature-via-suno-
The methods here collectively enable running models up to twice the size of the available DRAM, with a 4-5x and 20-25x increase in inference speed compared to naive loading approaches in CPU and GPU, respectively.
Why does this matter?
This research is significant as it paves the way for effective inference of LLMs on devices with limited memory. And also because Apple plans to integrate GenAI capabilities into iOS 18.
Apart from Apple, Samsung recently introduced Gauss, its own on-device LLM. Google announced its on-device LLM, Gemini Nano, which is set to be introduced in the upcoming Google Pixel 8 phones. It is evident that on-device LLMs are becoming a focal point of AI innovation.
Nvidia’s biggest Chinese competitor unveils cutting-edge AI GPUs
Chinese GPU manufacturer Moore Threads announced the MTT S4000, its latest graphics card for AI and data center compute workloads. It’s brand-new flagship will feature in the KUAE Intelligent Computing Center, a data center containing clusters of 1,000 S4000 GPUs each.
Moore Threads is also partnering with many other Chinese companies, including Lenovo, to get its KUAE hardware and software ecosystem off the ground.
Why does this matter?
Moore Threads claims KUAE supports mainstream LLMs like GPT and frameworks like (Microsoft) DeepSpeed. Although Moore Threads isn’t positioned to compete with the likes of Nvidia, AMD, or Intel any time soon, this might not be a critical requirement for China. Given the U.S. chip restrictions, Moore Threads might save China from having to reinvent the wheel.
Scientists discover first new antibiotics in over 60 years using AI
- Scientists have discovered a new class of antibiotics capable of combating drug-resistant MRSA bacteria, marking the first significant breakthrough in antibiotic discovery in 60 years, thanks to advanced AI-driven deep learning models.
- The team from MIT employed an enlarged deep learning model and extensive datasets to predict the activity and toxicity of new compounds, leading to the identification of two promising antibiotic candidates.
- These new findings, which aim to open the black box of AI in pharmaceuticals, could significantly impact the fight against antimicrobial resistance, as nearly 35,000 people die annually in the EU from such infections.
- Source
Apple wants AI to run directly on its hardware instead of in the cloud
- Apple is focusing on running large language models on iPhones to improve AI without relying on cloud computing.
- Their research suggests potential for faster, offline AI response and enhanced privacy due to on-device processing.
- Apple’s work could lead to more sophisticated virtual assistants and new AI features in smartphones.
- Source
AI Death Predictor Calculator: A Glimpse into the Future
This innovative AI death predictor calculator aims to forecast an individual’s life trajectory, offering insights into life expectancy and financial status with an impressive 78% accuracy rate. Developed by leveraging data from Danish health and demographic records for six million people, Life2vec takes into account a myriad of factors, ranging from medical history to socio-economic conditions. Read more here
How Life2vec Works
Accuracy Unveiled
Life2vec’s accuracy is a pivotal aspect that sets it apart. Rigorous testing on a diverse group of individuals aged between 35 and 65, half of whom passed away between 2016 and 2020, showcased the tool’s predictive prowess. The calculator successfully anticipated who would live and who would not with an accuracy rate of 78%, underscoring its potential as a reliable life forecasting tool.
Bill Gates: AI is about to supercharge the innovation pipeline in 2024
Some key takeaways:
The greatest impact of AI will likely be in drug discovery and combating antibiotic resistance.
AI has the potential to bring a personalized tutor to every student around the world.
High-income countries like the US are 18–24 months away from significant levels of AI use by the general population.
Gates believes that AI will help reduce inequities around the world by improving outcomes in health, education and other areas.
My work has always been rooted in a core idea: Innovation is the key to progress. It’s why I started Microsoft, and it’s why Melinda and I started the Gates Foundation more than two decades ago.
Innovation is the reason our lives have improved so much over the last century. From electricity and cars to medicine and planes, innovation has made the world better. Today, we are far more productive because of the IT revolution. The most successful economies are driven by innovative industries that evolve to meet the needs of a changing world.
My favorite innovation story, though, starts with one of my favorite statistics: Since 2000, the world has cut in half the number of children who die before the age of five.
How did we do it? One key reason was innovation. Scientists came up with new ways to make vaccines that were faster and cheaper but just as safe. They developed new delivery mechanisms that worked in the world’s most remote places, which made it possible to reach more kids. And they created new vaccines that protect children from deadly diseases like rotavirus.
In a world with limited resources, you have to find ways to maximize impact. Innovation is the key to getting the most out of every dollar spent. And artificial intelligence is about to accelerate the rate of new discoveries at a pace we’ve never seen before.
One of the biggest impacts so far is on creating new medicines. Drug discovery requires combing through massive amounts of data, and AI tools can speed up that process significantly. Some companies are already working on cancer drugs developed this way. But a key priority of the Gates Foundation in AI is ensuring these tools also address health issues that disproportionately affect the world’s poorest, like AIDS, TB, and malaria.
We’re taking a hard look at the wide array of AI innovation in the pipeline right now and working with our partners to use these technologies to improve lives in low- and middle-income countries.
In the fall, I traveled to Senegal to meet with some of the incredible researchers doing this work and to celebrate the 20th anniversary of the foundation’s Grand Challenges initiative. When we first launched Grand Challenges—the Gates Foundation’s flagship innovation program—it had a single goal: Identify the biggest problems in health and give grants to local researchers who might solve them. We asked innovators from developing countries how they would address health challenges in their communities, and then we gave them the support to make it happen.
Many of the people I met in Senegal were taking on the first-ever AI Grand Challenge. The foundation didn’t have AI projects in mind when we first set that goal back in 2003, but I’m always inspired by how brilliant scientists are able to take advantage of the latest technology to tackle big problems.
It was great to learn from Amrita Mahale about how the team at ARMMAN is developing an AI chatbot to improve health outcomes for pregnant women.
Much of their work is in the earliest stages of development—there’s a good chance we won’t see any of them used widely in 2024 or even 2025. Some might not even pan out at all. The work that will be done over the next year is setting the stage for a massive technology boom later this decade.
Still, it’s impressive to see how much creativity is being brought to the table. Here is a small sample of some of the most ambitious questions currently being explored:
- Can AI combat antibiotic resistance? Antibiotics are magical in their ability to end infection, but if you use them too often, pathogens can learn how to ignore them. This is called antimicrobial resistance, or AMR, and it is a huge issue around the world—especially in Africa, which has the highest mortality rates from AMR. Nana Kofi Quakyi from the Aurum Institute in Ghana is working on an AI-powered tool that helps health workers prescribe antibiotics without contributing to AMR. The tool will comb through all the available information—including local clinical guidelines and health surveillance data about which pathogens are currently at risk of developing resistance in the area—and make suggestions for the best drug, dosage, and duration.
- Can AI bring personalized tutors to every student? The AI education tools being piloted today are mind-blowing because they are tailored to each individual learner. Some of them—like Khanmigo and MATHia—are already remarkable, and they’ll only get better in the years ahead. One of the things that excites me the most about this type of technology is the possibility of localizing it to every student, no matter where they live. For example, a team in Nairobi is working on Somanasi, an AI-based tutor that aligns with the curriculum in Kenya. The name means “learn together” in Swahili, and the tutor has been designed with the cultural context in mind so it feels familiar to the students who use it.
- Can AI help treat high-risk pregnancies? A woman dies in childbirth every two minutes. That’s a horrifying statistic, but I’m hopeful that AI can help. Last year, I wrote about how AI-powered ultrasounds could help identify pregnancy risks. This year, I was excited to meet some of the researchers at ARMMAN, who hope to use artificial intelligence to improve the odds for new mothers in India. Their large language model will one day act as a copilot for health workers treating high-risk pregnancies. It can be used in both English and Telugu, and the coolest part is that it automatically adjusts to the experience level of the person using it—whether you’re a brand-new nurse or a midwife with decades of experience.
- Can AI help people assess their risk for HIV? For many people, talking to a doctor or nurse about their sexual history can be uncomfortable. But this information is super important for assessing risk for diseases like HIV and prescribing preventive treatments. A new South African chatbot aims to make HIV risk assessment a lot easier. It acts like an unbiased and nonjudgmental counselor who can provide around-the-clock advice. Sophie Pascoe and her team are developing it specifically with marginalized and vulnerable populations in mind—populations that often face stigma and discrimination when seeking preventive care. Their findings suggest that this innovative approach may help more women understand their own risk and take action to protect themselves.
- Could AI make medical information easier to access for every health worker? When you’re treating a critical patient, you need quick access to their medical records to know if they’re allergic to a certain drug or have a history of heart problems. In places like Pakistan, where many people don’t have any documented medical history, this is a huge problem. Maryam Mustafa’s team is working on a voice-enabled mobile app that would make it a lot easier for maternal health workers in Pakistan to create medical records. It asks a series of prompts about a patient and uses the responses to fill out a standard medical record. Arming health workers with more data will hopefully improve the country’s pregnancy outcomes, which are among the worst in the world.
There is a long road ahead for projects like these. Significant hurdles remain, like how to scale up projects without sacrificing quality and how to provide adequate backend access to ensure they remain functional over time. But I’m optimistic that we will solve them. And I’m inspired to see so many researchers already thinking about how we deploy new technologies in low- and middle-income countries.
We can learn a lot from global health about how to make AI more equitable. The main lesson is that the product must be tailored to the people who will use it. The medical information app I mentioned is a great example: It’s common for people in Pakistan to send voice notes to one another instead of sending a text or email. So, it makes sense to create an app that relies on voice commands rather than typing out long queries. And the project is being designed in Urdu, which means there won’t be any translation issues.
If we make smart investments now, AI can make the world a more equitable place. It can reduce or even eliminate the lag time between when the rich world gets an innovation and when the poor world does.
“We can learn a lot from global health about how to make AI more equitable. The main lesson is that the product must be tailored to the people who will use it.”
If I had to make a prediction, in high-income countries like the United States, I would guess that we are 18–24 months away from significant levels of AI use by the general population. In African countries, I expect to see a comparable level of use in three years or so. That’s still a gap, but it’s much shorter than the lag times we’ve seen with other innovations.
The core of the Gates Foundation’s work has always been about reducing this gap through innovation. I feel like a kid on Christmas morning when I think about how AI can be used to get game-changing technologies out to the people who need them faster than ever before. This is something I am going to spend a lot of time thinking about next year.
ChatGPT Prompting Advice by OpenAI (with examples)
In case you missed it, OpenAI released a new prompting guide. I thought it was going to be pretty generic but it’s actually very helpful and profound.
I want to share my key take-aways that I thought were the most insightful and I simplified it a bit (as OpenAI’s guide is a bit complicated imo). I also included some examples of how I would apply OpenAI’s advice.
My 4 favourite take-aways:
Split big problems into smaller ones
If you have a big or complicated question, try breaking it into smaller parts.
For example, don’t ask: “write a marketing plan on x”, but first ask “what makes an excellent marketing plan?” and then tackle individually each of the steps of a marketing plan with ChatGPT.
2. Using examples of your ideal outcome
Providing examples can guide ChatGPT to better answers. It’s similar to showing someone an example of what you’re talking about to make sure you’re both on the same page.
For example, if you have already created a marketing plan then you can use that as example input.
3. Use reference materials from external sources
If you need to solve a specific problem then you can also bring external sources within ChatGPT to get the job done faster and better.
For example, let’s imagine you are still working on that marketing plan and you are not able to get to the right results with only using ChatGPT.
You can go to reliable source that tells you how to create a solid marketing-plan, for example a CMO with a marketing blog. You can provide that as input for ChatGPT to build further upon simply by copying all the information directly into ChatGPT.
4. Using chain of thought for complex problems (my favourite)
This one’s like asking someone to explain their thinking process out loud.
When you’re dealing with tough questions, instead of just asking for the final answer, you can ask ChatGPT to show its “chain of thought”.
It’s like when you’re solving a math problem and write down each step. This helps in two ways:
It makes the reasoning of ChatGPT clear, so you can see how it got to the answer.
It’s easier to spot a mistake and correct it to get to your ideal outcome.
It also ‘slows-down’ the thinking of ChatGPT and can also lead to a better outcome.
2024 is world’s biggest election year ever and AI experts say we’re not prepared
The year 2024 is expected to have the largest number of elections worldwide, with over two billion people across 50 countries heading to the polls.
Experts warn that we are not prepared for the impact of AI on these elections, as generative AI tools like ChatGPT and Midjourney have gone mainstream.
There is a concern about AI-driven misinformation and deepfakes spreading at a larger scale, particularly in the run-up to the elections.
Governments are considering regulations for AI, but there is a need for an agreed international approach.
Fact-checkers are calling for public awareness of the dangers of AI fakes to help people recognize fake images and question what they see online.
Social media companies are legally required to take action against misinformation and disinformation, and the UK government has introduced the Online Safety Act to remove illegal AI-generated content.
Individuals are advised to verify what they see, diversify their news sources, and familiarize themselves with generative AI tools to understand how they work.
What Else Is Happening in AI on December 21st, 2023
ChatGPT now lets you archive chats.
Archive removes chats from your sidebar without deleting them. You can see your archived chats in Settings. The feature is currently available on the Web and iOS and is coming soon on Android. (Link)
Runway ML is Introducing TELESCOPE MAGAZINE.
An exploration of art, technology, and human creativity. It is designed and developed in-house and will be available for purchase in early January 2024.
Anthropic to raise $750 million in Menlo Ventures-led deal.
Anthropic is in talks to raise $750 million in a venture round led by Menlo Ventures that values the two-year-old AI startup at $15 billion (not including the investment), more than three times its valuation this spring. The round hasn’t finalized. The final price could top $18 billion. (Link)
LTIMindtree collaborates with Microsoft for AI-powered applications.
It will use Microsoft Azure OpenAI Service and Azure Cognitive Search to enable AI-led capabilities, including content summarisation, graph-led knowledge structuring, and an innovative copilot. (Link)
EU to expand support for AI startups to tap its supercomputers for model training.
The plan is for “centers of excellence” to be set up to support the development of dedicated AI algorithms that can run on the EU’s supercomputers. An “AI support center” is also on the way to have “a special track” for SMEs and startups to get help to get the most out of the EU’s supercomputing resources. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 20: AI Daily News – December 20th, 2023
Google’s VideoPoet is the ultimate all-in-one video AI
Runway introduces text-to-speech and video ratios for Gen-2
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon
AI beats humans for the first time in physical skill game
Google Gemini is not even as good as GPT-3.5 Turbo, researchers find
Blue Origin’s New Shepard makes triumphant return flight
Adobe explains why it abandoned the Figma deal
Elon Musk wants to turn Cybertrucks into boats
Google’s VideoPoet is the ultimate all-in-one video AI
To explore the application of language models in video generation, Google Research introduces VideoPoet, an LLM that is capable of a wide variety of video generation tasks, including:
- Text-to-video
- Image-to-video
- Video editing
- Video stylization
- Video inpainting and outpainting
- Video-to-audio
VideoPoet is a simple modeling method that can convert any autoregressive language model or large language model (LLM) into a high-quality video generator. It demonstrates state-of-the-art video generation, in particular in producing a wide range of large, interesting, and high-fidelity motions.
Why does this matter?
Leading video generation models are almost exclusively diffusion-based. But VideoPoet uses LLMs’ exceptional learning capabilities across various modalities to generate videos that look smoother and more consistent over time.
Notably, it can also generate audio for video inputs and longer duration clips from short input context which shows strong object identity preservation not seen in prior works.
Microsoft Copilot turns your ideas into songs with Suno
Microsoft has partnered with Suno, a leader in AI-based music creation, to bring their capabilities to Microsoft Copilot. Users can enter prompts into Copilot and have Suno, via a plug-in, bring their musical ideas to life. Suno can generate complete songs– including lyrics, instrumentals, and singing voices.
This will open new horizons for creativity and fun, making music creation accessible to everyone. The experience will begin rolling out to users starting today, ramping up in the coming weeks.
Why does this matter?
While many of the ethical and legal issues around AI-synthesized music have yet to be ironed out, tech giants and startups are increasingly investing in GenAI-based music creation tech. DeepMind and YouTube partnered to release Lyria and Dream Track, Meta has published several experiments, Stability AI and Riffusion have launched platforms and apps; now, Microsoft is joining the movement.
Runway introduces text-to-speech and video ratios for Gen-2
- Text to Speech: Users can now generate voiceovers and dialogue with simple-to-use and highly expressive Text-to-speech. It is available for all plans starting today.
- Ratios for Gen-2: Quickly and easily change the ratio of your generations to better suit the channels you’re creating for. Choose from 16:9, 9:16, 1:1, 4:3, 3:4.
Why does this matter?
These new features add more control and expressiveness to creations inside Runway. It also plans to release more updates for improved control over the next few weeks. Certainly, audio and video GenAI is set to take off in the coming year.
Text to Speech.
Generate voice overs and dialogue with our simple to use and highly expressive Text to Speech. Available for all plans starting today. pic.twitter.com/Hrth8CAeR4
— Runway (@runwayml) December 19, 2023
What Else Is Happening in AI on December 20th, 2023
Google expands access to AI coding in Colab across 175 locales.
It announced the expansion of code assistance features to all Colab users, including users on free-of-charge plans. Anyone in eligible locales can now try AI-powered code assistance in Colab. (Link)
Stability AI announces paid membership for commercial use of its models.
It is now offering a subscription service that standardizes and changes how customers can use its models for commercial purposes. With three tiers, this will aim to strike a balance between profitability and openness. (Link)
TomTom and Microsoft develop an in-vehicle AI voice assistant.
Digital maps and location tech specialist TomTom partnered with Microsoft to develop an AI voice assistant for vehicles. It enables voice interaction with location search, infotainment, and vehicle command systems. It uses multiple Microsoft products, including Azure OpenAI Service. (Link)
Airbnb is using AI to help clampdown on New Year’s Eve parties globally.
The AI-powered technology will help enforce restrictions on certain NYE bookings in several countries and regions. Airbnb’s anti-party measures have seen a decrease in the rate of party reports over NYE, as thousands globally stopped from booking last year. (Link)
AI robot outmaneuvers humans in maze run breakthrough.
Researchers at ETH Zurich have created an AI robot called CyberRunner they say surpassed humans at the popular game Labyrinth. It navigated a small metal ball through a maze by tilting its surface, avoiding holes across the board, and mastering the toy in just six hours. (Link)
Google Gemini is not even as good as GPT-3.5 Turbo, researchers find
- Google’s Gemini Pro, designed to compete with ChatGPT, performs worse on many tasks compared to OpenAI’s older model, GPT-3.5 Turbo, according to new research.
- Despite Google claiming superior performance in its own research, an independent study showcases Gemini Pro falling behind GPT models in areas like reasoning, mathematics, and programming.
- However, Google’s Gemini Pro excels in language translation across several languages, despite its generally lower performance in other AI benchmarks.
- Source
Microsoft Copilot now lets you create AI songs from text prompts. Source.
Google Brain co-founder tests AI doomsday threat by trying to get ChatGPT to kill everyone. Source
GPT-4 driven robot takes selfies, ‘eats’ popcorn. Source
A Daily Chronicle of AI Innovations in December 2023 – Day 19: AI Daily News – December 19th, 2023
OpenAI’s new ‘Preparedness Framework’ to track AI risks
NVIDIA’s new GAvatar creates realistic 3D avatars
OpenAI lays out plan for dealing with dangers of AI
Adobe and Figma call off $20 billion acquisition after regulatory scrutiny
Apple will halt sales of its newest watches in the US over a patent dispute
TomTom and Microsoft are launching an AI driving assistant
Google to pay $700 million in Play Store settlement
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon
OpenAI’s new ‘Preparedness Framework’ to track AI risks
OpenAI published a new safety preparedness framework to manage AI risks; They are strengthening its safety measures by creating a safety advisory group and granting the board veto power over risky AI. The new safety advisory group will provide recommendations to leadership, and the board will have the authority to veto decisions.
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OpenAI’s updated “Preparedness Framework” aims to identify and address catastrophic risks. The framework categorizes risks and outlines mitigations, with high-risk models prohibited from deployment and critical risks halting further development. The safety advisory group will review technical reports and make recommendations to leadership and the board, ensuring a higher level of oversight.
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Why does this matter?
OpenAI’s updated safety policies and oversight procedures demonstrate a commitment to responsible AI development. As AI systems grow more powerful, thoughtfully managing risks becomes critical. OpenAI’s Preparedness Framework provides transparency into how they categorize and mitigate different types of AI risks.
Google Research’s new approach to improve LLM performance
Google Research released a new approach to improve the performance of LLMs; It answers complex natural language questions. The approach combines knowledge retrieval with the LLM and uses a ReAct-style agent that can reason and act upon external knowledge.
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The agent is refined through a ReST-like method that iteratively trains on previous trajectories, using reinforcement learning and AI feedback for continuous self-improvement. After just two iterations, a fine-tuned small model is produced that achieves comparable performance to the large model but with significantly fewer parameters.
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Why does this matter?
Having access to relevant external knowledge gives the system greater context for reasoning through multi-step problems. For the AI community, this technique demonstrates how the performance of language models can be improved by focusing on knowledge and reasoning abilities in addition to language mastery.
NVIDIA’s new GAvatar creates realistic 3D avatars
Nvidia has announced GAvatar, a new technology that allows for creating realistic and animatable 3D avatars using Gaussian splatting. Gaussian splatting combines the advantages of explicit (mesh) and implicit (NeRF) 3D representations.
However, previous methods using Gaussian splatting had limitations in generating high-quality avatars and suffered from learning instability. To overcome these challenges, GAvatar introduces a primitive-based 3D Gaussian representation, uses neural implicit fields to predict Gaussian attributes, and employs a novel SDF-based implicit mesh learning approach.
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GAvatar outperforms existing methods in terms of appearance and geometry quality and achieves fast rendering at high resolutions.
Why does this matter?
This cleverly combines the best of both mesh and neural network graphical approaches. Meshes allow precise user control, while neural networks handle complex animations. By predicting avatar attributes with neural networks, GAvatar enables easy customization. Using a novel technique called Gaussian splatting, GAvatar reaches new levels of realism.
What Else Is Happening in AI on December 19th, 2023
Accenture launches GenAI Studio in Bengaluru India, to accelerate Data and AI
Its part of $3bn investment. The studio will offer services such as the proprietary GenAI model “switchboard,” customization techniques, model-managed services, and specialized training programs. The company plans to double its AI talent to 80K people in the next 3 years through hiring, acquisitions, and training. (Link)
Expedia is looking to use AI to compete with Google trip-planning business
Expedia wants to develop personalized customer recommendations based on their travel preferences and previous trips to bring more direct traffic. They aim to streamline the travel planning process by getting users to start their search on its platform instead of using external search engines like Google. (Link)
Jaxon AI partners with IBM Watsonx to combat AI hallucination in LLMS
The company’s technology- Domain-Specific AI Language (DSAIL), aims to provide more reliable AI solutions. While AI hallucination in content generation may not be catastrophic in some cases, it can have severe consequences if it occurs in military technology. (Link)
AI-Based retinal analysis for childhood autism diagnosis with 100% accuracy
Researchers have developed this method, and by analyzing photographs of children’s retinas, a deep learning AI algorithm can detect autism, providing an objective screening tool for early diagnosis. This is especially useful when access to a specialist child psychiatrist is limited. (Link)
Conservationists using AI to help protect coral reefs from climate change
The Coral Restoration Foundation (CRF) in Florida has developed a tool called CeruleanAI, which uses AI to analyze 3D maps of reefs and monitor restoration efforts. AI allows conservationists to track the progress of restoration efforts more efficiently and make a bigger impact. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 18: AI Daily News – December 18th, 2023
Google DeepMind’s LLM solves complex math
ByteDance secretly uses OpenAI’s Tech
Jeff Bezos discusses plans for trillion people to live in huge cylindrical space stations
Elon Musk told bankers they wouldn’t lose any money on Twitter purchase
Despite the denials, ‘your devices are listening to you,’ says ad company
Tesla’s largest recall won’t fix Autopilot safety issues, experts say
Google DeepMind’s LLM solves complex math
Google DeepMind has used an LLM called FunSearch to solve an unsolved math problem. FunSearch combines a language model called Codey with other systems to suggest code that will solve the problem. After several iterations, FunSearch produced a correct and previously unknown solution to the cap set problem.
This approach differs from DeepMind’s previous tools, which treated math problems as puzzles in games like Go or Chess. FunSearch has the advantage of finding solutions to a wide range of problems by producing code, and it has shown promising results in solving the bin packing problem.
Why does this matter?
FunSearch’s ability to solve an unsolved math problem showcases AI matches high-level human skills in several ways. Its advances in core reasoning abilities for AI, such as displayed by FunSearch, will likely unlock further progress in developing even more capable AI. Together, these interrelated impacts mean automated math discoveries like this matter greatly for advancing AI toward more complex human thinking.
OpenAI released its Prompt Engineering Guide
OpenAI released its own Prompt Engineering Guide. This guide shares strategies and tactics for improving results from LLMs like GPT-4. The methods described in the guide can sometimes be combined for greater effect. They encourage experimentation to find the methods that work best for you.
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The OpenAI Platform provides six strategies for getting better results with language models. These strategies include writing clear instructions, providing reference text, splitting complex tasks into simpler subtasks, giving the model time to think, using external tools to compensate for weaknesses, and testing changes systematically. By following these strategies, users can improve the performance and reliability of the language models.
Why does this matter?
Releasing an open prompt engineering guide aligns with OpenAI’s mission to benefit humanity. By empowering more people with skills to wield state-of-the-art models properly, outcomes can be directed toward more constructive goals rather than misuse – furthering responsible AI development.
ByteDance secretly uses OpenAI’s Tech
ByteDance, the parent company of TikTok, has been secretly using OpenAI’s technology to develop its own LLM called Project Seed. This goes against OpenAI’s terms of service, prohibiting the use of their model output to develop competing AI models.
Internal documents confirm that ByteDance has relied on the OpenAI API for training and evaluating Project Seed. This practice is considered a faux pas in the AI world, and Microsoft, through which ByteDance accesses OpenAI, has the same policy
Why does this matter?
ByteDance’s use of OpenAI’s tech highlights the intense competition in the generative AI race. Ultimately, this case highlights the priority of integrity and transparency in progressing AI safely.
Source
What Else Is Happening in AI on December 18th, 2023
Deloitte is turning towards AI to avoid mass layoffs in the future
The company plans to use AI to assess the skills of its existing employees and identify areas where they can be shifted to meet demand. This move comes after Deloitte hired 130,000 new staff members this year but warned thousands of US and UK employees that their jobs were at risk of redundancy due to restructuring. (Link)
Ola’s founder have announced an Indian LLM
This new multilingual LLM will have generative support for 10 Indian languages and will be able to take inputs in a total of 22 languages. It has been trained on over two trillion tokens of data for Indian languages. And will be trained on ‘Indian ethos and culture’. The company will also develop data centers, supercomputers for AI, and much more. (Link)
Grimes partnered with Curio Toys to create AI toys for children
Musician Grimes has partnered with toy company Curio to create a line of interactive AI plush toys for children. The toys, named Gabbo, Grem, and Grok, can converse with and “learn” the personalities of their owners. The toys require a Wi-Fi connection and come with an app that provides parents with a written transcript of conversations. (Link)
Agility uses LLMs to enhance communication with its humanoid robot- Digit
The company has created a demo space where Digit is given natural language commands of varying complexity to see if it can execute them. The robot is able to pick up a box of a specific color and move it to a designated tower, showcasing the potential of natural language communication in robotics. (Link)
CaliExpress is hailed as the world’s first autonomous AI restaurant
The eatery, set to open before the end of the year, will feature robots that can make hamburgers and French fries. However, the restaurant will still have human employees who will pack the food and interact with customers. (Link)
Jeff Bezos discusses plans for trillion people to live in huge cylindrical space stations
- Jeff Bezos envisions humanity living in massive cylindrical space stations, as per his recent interview with Lex Fridman.
- Bezos shared his aspiration for a trillion people to live in the solar system, facilitated by these space habitats, citing the potential to have thousands of Mozarts and Einsteins at any given time.
- His vision contrasts with Elon Musk’s goal of establishing cities on planets like Mars, seeing Earth as a holiday destination and highlighting the future role of AI and Amazon’s influence in space living.
- Source
Despite the denials, ‘your devices are listening to you,’ says ad company
- An advertising company has recently claimed that it can deploy “active listening” technology through devices like smartphones and smart TVs to target ads based on voice data from everyday conversations.
- This controversial claim suggests that these targeted advertisements can be directed at individuals using specific phrases they say, intensifying concerns about privacy and surveillance in the digital age.
- The assertion highlights a growing debate about the balance between technological advancement in advertising and the imperative to protect individual privacy rights in an increasingly digital world.
- Source
Tesla’s largest recall won’t fix Autopilot safety issues, experts say
- Tesla agreed to a software update for 2 million cars to improve driver attention on Autopilot, though experts believe it doesn’t address the main issue of limiting where Autopilot can be activated.
- The National Highway Traffic Safety Administration is still investigating Autopilot after over 900 crashes, but the recall only adds alerts without restricting the feature to designated highways.
- Tesla’s recall introduces more “controls and alerts” for Autopilot use but does not prevent drivers from using it outside the intended operational conditions, despite safety concerns.
- Source
A Daily Chronicle of AI Innovations in December 2023 – Day 16: AI Daily News – December 16th, 2023
OpenAI demos a control method for Superintelligent AI
DeepMind’s AI finds new solution to decades-old math puzzle
Amazon’s internet satellites will communicate using space lasers
Google finally stops handing your location data to cops
GM removes Apple CarPlay and Android Auto from cars over safety concerns
OpenAI demos a control method for Superintelligent AI
- OpenAI initiated a superalignment program to ensure future superintelligent AI aligns with human goals, and they aim to find solutions by 2027.
- Researchers tested whether a less capable AI, GPT-2, could oversee a more powerful AI, GPT-4, finding the stronger AI could outperform its weaker supervisor, especially in NLP tasks.
- OpenAI is offering $10 million in grants to encourage diverse approaches to AI alignment and to gather insights on supervising future superhuman AI models.
- Source
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering Guide,” available at Etsy, Shopify, Apple, Google, or Amazon
DeepMind’s AI finds new solution to decades-old math puzzle
- DeepMind’s AI, FunSearch, has found a new approach to the long-standing “cap set puzzle,” surpassing previous human-led solutions.
- The FunSearch model uses a combination of a pre-trained language model and an evaluator to prevent the production of incorrect information.
- This advancement in AI could inspire further scientific discovery by providing explainable solutions that assist ongoing research.
- Source
Amazon’s internet satellites will communicate using space lasers
- Amazon’s Project Kuiper is enhancing satellite internet by building a space-based mesh network using high-speed laser communications.
- Successful tests have demonstrated quick data transfer speeds of up to 100 gigabits per second between satellites using optical inter-satellite links.
- With plans for full deployment in 2024, Project Kuiper aims to provide fast and resilient internet connectivity globally, surpassing the capabilities of terrestrial fiber optics.
- Source
Google finally stops handing your location data to cops
- Google is changing how it collects location data, limiting its role in geofence warrants used by police.
- Location data will remain on users’ phones if they choose Google’s tracking settings, enhancing personal privacy.
- The change may reduce data available for police requests but may not impact Google’s use of data for advertising.
- Source
GM removes Apple CarPlay and Android Auto from cars over safety concerns
- GM plans to replace Apple CarPlay and Android Auto with its own infotainment system, citing stability issues and safety concerns.
- The new system will debut in the 2024 Chevrolet Blazer EV, requiring drivers to use built-in apps rather than phone mirroring.
- GM aims to integrate its infotainment system with its broader ecosystem, potentially increasing subscription revenue.
- Source
DeepMind’s FunSearch: Google’s AI Unravels Mathematical Enigmas Once Deemed Unsolvable by Humans
DeepMind, a part of Google, has made a remarkable stride in AI technology with its latest innovation, FunSearch. This AI chatbot is not just adept at solving complex mathematical problems but also uniquely equipped with a fact-checking feature to ensure accuracy. This development is a dramatic leap forward in the realm of artificial intelligence.
Here’s a breakdown of its key features:
Groundbreaking Fact-Checking Capability: Developed by Google’s DeepMind, FunSearch stands out with an evaluator layer, a novel feature that filters out incorrect AI outputs, enhancing the reliability and precision of its solutions.
Addressing AI Misinformation: FunSearch tackles the prevalent issue of AI ‘hallucinations’ — the tendency to produce misleading or false results — ensuring a higher degree of trustworthiness in its problem-solving capabilities.
Innovative Scientific Contributions: Beyond conventional AI models, FunSearch, a product of Google’s AI expertise, is capable of generating new scientific knowledge, especially in the fields of mathematics and computer science.
Superior Problem-Solving Approach: The AI model demonstrates an advanced method of generating diverse solutions and critically evaluating them for accuracy, leading to highly effective and innovative problem-solving strategies.
Broad Practical Applications: Demonstrating its superiority in tasks like the bin-packing problem, FunSearch, emerging from Google’s technological prowess, shows potential for widespread applications in various industries.
Source: (NewScientist)
A Daily Chronicle of AI Innovations in December 2023 – Day 15: AI Daily News – December 15th, 2023
OpenAI granting $10M to solve the alignment problem
Intel’s new Core Ultra CPUs bring AI capabilities to PCs
Elon Musk wants to open a university
Midjourney to launch a new platform for AI image generation
Intel entering the ‘AI PC’ era with new chips
SpaceX blasts FCC as it refuses to reinstate Starlink’s $886 million grant
Threads launches for nearly half a billion more users in Europe
Trains were designed to break down after third-party repairs, hackers find
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon
OpenAI granting $10M to solve the alignment problem
OpenAI, in partnership with Eric Schmidt, is launching a $10 million grants program called “Superalignment Fast Grants” to support research on ensuring the alignment and safety of superhuman AI systems. They believe that superintelligence could emerge within the next decade, posing both great benefits and risks.
Existing alignment techniques may not be sufficient for these advanced AI systems, which will possess complex and creative behaviors beyond human understanding. OpenAI aims to bring together the best researchers and engineers to address this challenge and offers grants ranging from $100,000 to $2 million for academic labs, nonprofits, and individual researchers. They are also sponsoring a one-year fellowship for graduate students.
Why does this matter?
With $10M in new grants to tackle the alignment problem, OpenAI is catalyzing critical research to guide AI’s development proactively. By mobilizing top researchers now, years before advanced systems deployment, they have their sights set on groundbreaking solutions to ensure these technologies act for the benefit of humanity.
Alibaba released ‘12VGen-XL’ image-to-video AI
Alibaba released 12VGen-XL, a new image-to-video model, It is capable of generating high-definition outputs. It uses cascaded diffusion models and static images as guidance to ensure alignment and enhance model performance.
The approach consists of 2 stages: a base stage for coherent semantics and content preservation and a refinement stage for detail enhancement and resolution improvement. The model is optimized using a large dataset of text-video and text-image pairs. The source code and models will be publicly available.
Why does this matter?
Generating videos from just images and text prompts – This level of control and alignment shows the immense creativity and personalization that generative video brings in sectors from media to marketing. This release brings another competitor to the expanding AI video-gen sector, with capabilities ramping up at a truly insane pace.
Intel’s new Core Ultra CPUs bring AI capabilities to PCs
Intel has launched its Intel Core Ultra mobile processors, which bring AI capabilities to PCs. These processors offer improved power efficiency, compute and graphics performance, and an enhanced AI PC experience.
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They will be used in over 230 AI PCs from partners such as Acer, ASUS, Dell, HP, Lenovo, and Microsoft Surface. Intel believes that by 2028, AI PCs will make up 80% of the PC market, and they are well-positioned to deliver this next generation of computing.
Why does this matter?
Intel believes that by 2028, AI PCs will make up 80% of the PC market, and they are well-positioned to deliver this next generation of computing. With dedicated AI acceleration capability spread across the CPU, GPU, and NPU architectures, Intel Core Ultra is the most AI-capable and power-efficient client processor in Intel’s history.
How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps
A Step-by-Step Tutorial for using LLaVA 1.5 and Mistral 7B on your Mac or Windows. Source.
What is llamafile?
Llamafile transforms LLM weights into executable binaries. This technology essentially packages both the model weights and the necessary code required to run an LLM into a single, multi-gigabyte file. This file includes everything needed to run the model, and in some cases, it also contains a full local server with a web UI for interaction. This approach simplifies the process of distributing and running LLMs on multiple operating systems and hardware architectures, thanks to its compilation using Cosmopolitan Libc.
This innovative approach simplifies the distribution and execution of LLMs, making it much more accessible for users to run these models locally on their own computers.
What is LLaVA 1.5?
LLaVA 1.5 is an open-source large multimodal model that supports text and image inputs, similar to GPT-4 Vision. It is trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture.
What is Mistral 7B?
Mistral 7B is an open-source large language model with 7.3 billion parameters developed by Mistral AI. It excels in generating coherent text and performing various NLP tasks. Its unique sliding window attention mechanism allows for faster inference and handling of longer text sequences. Notable for its fine-tuning capabilities, Mistral 7B can be adapted to specific tasks, and it has shown impressive performance in benchmarks, outperforming many similar models.
Here’s how to start using LLaVA 1.5 or Mistral 7B on your own computer leveraging llamafile. Don’t get intimidated, the setup process is very straightforward!
Setting Up LLaVA 1.5
- Open Terminal: Before beginning, you need to open the Terminal application on your computer. On a Mac, you can find it in the Utilities folder within the Applications folder, or you can use Spotlight (Cmd + Space) to search for “Terminal.”
- Download the LLaVA 1.5 llamafile: Pick your preferred option to download the llamafile for LLaVA 1.5 (around 4.26GB):
- Go to Justine’s repository of LLaVA 1.5 on Hugging Face and click
downloador just click here and the download should start directly.
- Use this command in the Terminal:
curl -LO https://huggingface.co/jartine/llava-v1.5-7B-GGUF/resolve/main/llava-v1.5-7b-q4-server.llamafile
- Go to Justine’s repository of LLaVA 1.5 on Hugging Face and click
- Make the Binary Executable: Once downloaded, use the Terminal to navigate to the folder where the file was downloaded, e.g. Downloads, and make the binary executable:
cd ~/Downloads chmod 755 llava-v1.5-7b-q4-server.llamafileFor Windows, simply add
.exeat the end of the file name.
Using LLaVA 1.5
Every time you want to use LLaVA on your compute follow these steps:
- Run the Executable: Start the web server by executing the binary1:
./llava-v1.5-7b-q4-server.llamafileThis command will launch a web server on port 8080.
- Access the Web UI: To start using the model, open your web browser and navigate to http://127.0.0.1:8080/ (or click the link to open directly).
Terminating the process
Once you’re done using the LLaVA 1.5 model, you can terminate the process. To do this, return to the Terminal where the server is running. Simply press Ctrl + C. This key combination sends an interrupt signal to the running server, effectively stopping it.
Setting Up Mistral 7B
- Open Terminal
- Download the Mistral 7B llamafile: Pick your preferred option to download the llamafile for Mistral 7B (around 4.37 GB):
- Go to Justine’s repository of Mistral 7B on Hugging Face and click
downloador just click here and the download should start directly.
- Use this command in the Terminal:
curl -LO https://huggingface.co/jartine/llava-v1.5-7B-GGUF/resolve/main/mistral-7b-instruct-v0.1-Q4_K_M-server.llamafile
- Go to Justine’s repository of Mistral 7B on Hugging Face and click
- Make the Binary Executable: Once downloaded, use the Terminal to navigate to the folder where the file was downloaded, e.g. Downloads, and make the binary executable:
cd ~/Downloads chmod 755 mistral-7b-instruct-v0.1-Q4_K_M-server.llamafileFor Windows, simply add
.exeat the end of the file name.
Every time you want to use LLaVA on your compute follow these steps:
- Run the Executable: Start the web server by executing the binary:
./mistral-7b-instruct-v0.1-Q4_K_M-server.llamafileThis command will launch a web server on port 8080.
- Access the Web UI: To start using the model, open your web browser and navigate to http://127.0.0.1:8080/ (or click the link to open directly).
Once you’re done using the Mistral 7B model, you can terminate the process. To do this, return to the Terminal where the server is running. Simply press Ctrl + C. This key combination sends an interrupt signal to the running server, effectively stopping it.
The introduction of llamafile significantly simplifies the deployment and use of advanced LLMs like LLaVA 1.5 or Mistral 7B for personal, development, or research purposes. This tool opens up new possibilities in the realm of AI and machine learning, making it more accessible for a wider range of users.
The first time only, you might be asked to install the command line developer tools; just click on Install:
What Else Is Happening on December 15th, 2023
Instagram introduces a new AI background editing tool for U.S.-based users
The tool allows users to change the background of their images through prompts for Stories. Users can choose from ready prompts or write their own prompts. When a user posts a Story with the newly generated background, others will see a “Try it” sticker with the prompt, allowing them also to use this tool. (Link)
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Microsoft continues to advance tooling support in Azure AI Studio
They have made over 25 announcements at Microsoft Ignite, including adding 40 new models to the Azure AI model catalog, new multimodal capabilities in Azure OpenAI Service, and the public preview of Azure AI Studio. (Link)
Google is reportedly working on an AI assistant for Pixels called “Pixie”
It will use the information on a user’s phone, such as data from Maps and Gmail, to become a more “personalized” version of Google Assistant, according to a report from The Information. The feature could reportedly launch in the Pixel 9 and 9 Pro next year. (Link)
DeepMind’s AI has surpassed human mathematicians in solving unsolved combinatorics problems
This is the first time an LLM-based system has gone beyond existing knowledge in the field. Previous experiments have used LLMs to solve math problems with known solutions, but this breakthrough demonstrates the AI’s effectiveness in tackling unsolved problems. (Link)
H&R Block announces AI tax filing assistant
Which answers users’ tax filing questions. Accessed through paid versions of H&R Block’s DIY tax software, the chatbot provides information on tax rules, exemptions, and other tax-related issues. It also directs users to human tax experts for personalized advice. (Link)
Elon Musk wants to open a university
- Elon Musk aims to create a university in Austin, Texas, focusing on STEM education and offering hands-on learning experiences.
- The university will be ‘dedicated to education at the highest levels,’ according to tax documents obtained by Bloomberg.
- Musk’s educational plans also include opening STEM-focused K-12 schools, with potential for a Montessori-style institution within a planned town in Texas.
- Source
Midjourney to launch a new platform for AI image generation
- Midjourney, a leading AI image generation service, has launched an alpha version of its website, allowing direct image creation for select users.
- The new web interface offers a simpler user experience with visual settings adjustments and a gallery of past image generations.
- Access to the alpha site is currently restricted to users who have created over 10,000 images on Midjourney, but it will expand to more users soon.
- Source
Intel entering the ‘AI PC’ era with new chips
- Intel unveils its new Core Ultra processors (part of the Meteor Lake lineup), enhancing power efficiency and performance with chiplets and integrated AI capabilities.
- The Core Ultra 9 185H is Intel’s leading model featuring up to 16 cores, dedicated low power sections, built-in Arc GPU, and support for AI-enhanced tasks.
- Various laptop manufacturers including MSI, Asus, Lenovo, and Acer are releasing new models with Intel’s Core Ultra chips, offering advanced specs, with availability now and through 2024.
Reducing LLM Hallucinations with Chain-of-Verification
Chain-of-Verification is a prompt engineering technique from Meta AI to reduce hallucinations in LLMs. Here is the white paper: https://arxiv.org/abs/2309.11495
How it works (from CoVe white paper):
1️⃣ Generate Baseline: Given a query, generate the response using the LLM.
2️⃣ Plan Verification(s): Given both query and baseline response, generate a list of verification questions that could help to self-analyze if there are any mistakes in the original response.
3️⃣ Execute Verification(s): Answer each verification question in turn, and hence check the answer against the original response to check for inconsistencies or mistakes.
4️⃣ Generate Final Response: Given the discovered inconsistencies (if any), generate a revised response incorporating the verification results.
I created a CoVe prompt template that you can use in any application – it’s JSON-serializable config specifically for the AI settings of your app. It allows you separates the core application logic from the generative AI settings (prompts, model routing, and parameters).
Config components for CoVe:
1️⃣ GPT4 + Baseline Generation prompt
2️⃣ GPT4 + Verification prompt
3️⃣ GPT4 + Final Response Generation prompt
Streamlit App Demo – https://chain-of-verification.streamlit.app/
Source code for the config – https://github.com/lastmile-ai/aiconfig
Generative AI Fundamentals Quiz:
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. In today’s episode, we’ll cover generative AI, unsupervised learning models, biases in machine learning systems, Google’s recommendation for responsible AI use, and the components of a transformer model.
Question 1: How does generative AI function?
Well, generative AI typically functions by using neural networks, which are a type of machine learning model inspired by the human brain. These networks learn to generate new outputs, such as text, images, or sounds, that resemble the training data they were exposed to. So, how does this work? It’s all about recognizing patterns and features in a large dataset.
You see, neural networks learn by being trained on a dataset that contains examples of what we want them to generate. For example, if we want the AI to generate realistic images of cats, we would train it on a large dataset of images of cats. The neural network analyzes these images to identify common features and patterns that make them look like cats.
Once the neural network has learned from this dataset, it can generate new images that resemble a cat. It does this by generating new patterns and features based on what it learned during training. It’s like the AI is using its imagination to create new things that it has never seen before, but that still look like cats because it learned from real examples.
So, the correct answer to this question is B. Generative AI uses a neural network to learn from a large dataset.
Question 2: If you aim to categorize documents into distinct groups without having predefined categories, which type of machine learning model would be most appropriate?
Well, when it comes to categorizing documents into distinct groups without predefined categories, the most appropriate type of machine learning model is an unsupervised learning model. You might be wondering, what is unsupervised learning?
Unsupervised learning models are ideal for tasks where you need to find hidden patterns or intrinsic structures within unlabeled data. In the context of organizing documents into distinct groups without predefined categories, unsupervised learning techniques, such as clustering, can automatically discover these groups based on the similarities among the data.
Unlike supervised learning models, which require labeled data with predefined categories or labels to train on, unsupervised learning models can work with raw, unstructured data. They don’t require prior knowledge or a labeled dataset. Instead, they analyze the data to identify patterns and relationships on their own.
So, the correct answer to this question is D. An unsupervised learning model would be most appropriate for categorizing documents into distinct groups without predefined categories.
Question 3: Per Google’s AI Principles, does bias only enter into the system at specific points in the machine learning lifecycle?
The answer here is no, bias can potentially enter into a machine learning system at multiple points throughout the ML lifecycle. It’s not just limited to specific points.
Bias can enter during the data collection stage, the model design phase, the algorithm’s training process, and even during the interpretation of results. So, it’s not restricted to certain parts of the machine learning lifecycle. Bias can be a pervasive issue that requires continuous vigilance and proactive measures to mitigate throughout the entire lifecycle of the system.
Keeping bias in check is incredibly important when developing and deploying AI systems. It’s crucial to be aware of the potential biases that can be introduced and take steps to minimize them. This includes thorough data collection and examination, diverse training sets, and ongoing monitoring and evaluation.
So, the correct answer to this question is B. False. Bias can enter into the system at multiple points throughout the machine learning lifecycle.
Question 4: What measure does Google advocate for organizations to ensure the responsible use of AI?
When it comes to ensuring the responsible use of AI, Google advocates for organizations to seek participation from a diverse range of people. It’s all about inclusivity and diversity.
Google recommends that organizations engage a wide range of perspectives in the development and deployment of AI technologies. This diversity includes not just diversity in disciplines and skill sets, but also in background, thought, and culture. By involving individuals from various backgrounds, organizations can identify potential biases and ensure that AI systems are fair, ethical, and beneficial for a wide range of users.
While it’s important to focus on efficiency and use checklists to evaluate responsible AI, these measures alone cannot guarantee the responsible use of AI. Similarly, a top-down approach to increasing AI adoption might be a strategy for implementation, but it doesn’t specifically address the ethical and responsible use of AI.
So, the correct answer to this question is C. Organizations should seek participation from a diverse range of people to ensure the responsible use of AI.
Question 5: At a high level, what are the key components of a transformer model?
Ah, the transformer model, a powerful architecture used in natural language processing. So, what are its key components? At a high level, a transformer model consists of two main components: the encoder and the decoder.
The encoder takes the input data, such as a sequence of words in a sentence, and processes it. It converts the input into a format that the model can understand, often a set of vectors. The encoder’s job is to extract useful information from the input and transform it into a meaningful representation.
Once the input has been processed by the encoder, it’s passed on to the decoder. The decoder takes this processed input and generates the output. For example, in language models, the decoder can generate the next word in a sentence based on the input it received from the encoder.
This encoder-decoder architecture is particularly powerful in handling sequence-to-sequence tasks, such as machine translation or text summarization. It allows the model to understand the context of the input and generate coherent and meaningful output.
So, the correct answer to this question is D. The key components of a transformer model are the encoder and the decoder.
That’s it for the quiz! I hope you found this information helpful and it clarified some concepts related to generative AI and machine learning models. Keep exploring and learning, and don’t hesitate to ask if you have any more questions. Happy AI adventures!
So, we’ve got a super handy book for you called “AI Unraveled: Master GPT-4, Gemini, Generative AI & LLMs – Simplified Guide for Everyday Users”. It’s got all the quizzes mentioned earlier and even more!
Now, if you’re wondering where you can get your hands on this gem, we’ve got some great news. You can find it at Etsy, Shopify, Apple, Google, or even good old Amazon. They’ve got you covered no matter where you like to shop.
So, what are you waiting for? Don’t hesitate to grab your very own copy of “AI Unraveled” right now! Whether you’re a tech enthusiast or just curious about the world of artificial intelligence, this book is perfect for everyday users like you. Trust me, you won’t want to miss out on this simplified guide that’s packed with knowledge and insights. Happy reading!
In today’s episode, we explored the fascinating world of generative AI, unsupervised learning, biases in machine learning systems, responsible AI use, and the power of transformer models, while also recommending the book ‘AI Unraveled’ for further exploration. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
A Daily Chronicle of AI Innovations in December 2023 – Day 14: AI Daily News – December 14th, 2023
Google’s new AI releases: Gemini API, MedLM, Imagen 2, MusicFX
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Prompt Engineering,” available at Etsy, Shopify, Apple, Google, or Amazon
Google’s new AI releases: Gemini API, MedLM, Imagen 2, MusicFX
Google is introducing a range of generative AI tools and platforms for developers and Google Cloud customers.
- Gemini API in AI Studio and Vertex AI: Google is making Gemini Pro available for developers and enterprises to build for their own use cases. Right now, developers have free access to Gemini Pro and Gemini Pro Vision through Google AI Studio, with up to 60 requests per minute. Vertex AI developers can try the same models, with the same rate limits, at no cost until general availability early next year.
- Imagen 2 with text and logo generation: Imagen 2 now delivers significantly improved image quality and a host of features, including the ability to generate a wide variety of creative and realistic logos and render text in multiple languages.
- MedLM: It is a family of foundation models fine-tuned for the healthcare industry, generally available (via allowlist) to Google Cloud customers in the U.S. through Vertex AI. MedLM builds on Med-PaLM 2.
- MusicFX: It is a groundbreaking new experimental tool that enables users to generate their own music using AI. It uses Google’s MusicLM and DeepMind’s SynthID to create a unique digital watermark in the outputs, ensuring the authenticity and origin of the creations.
Google also announced the general availability of Duet AI for Developers and Duet AI in Security Operations.
Why does this matter?
Google isn’t done yet. While its impressive Gemini demo from last week may have been staged, Google is looking to fine-tune and improve Gemini based on developers’ feedback. In addition, it is also racing with rivals to push the boundaries of AI in various fields.
Stability AI introduces Stable Zero123 for quality image-to-3D generation
Stable Zero123 generates novel views of an object, demonstrating 3D understanding of the object’s appearance from various angles– all from a single image input. It’s notably improved quality over Zero1-to-3 or Zero123-XL is due to improved training datasets and elevation conditioning.
The model is now released on Hugging Face to enable researchers and non-commercial users to download and experiment with it.
Why does this matter?
This marks a notable improvement in both quality and understanding of 3D objects compared to previous models, showcasing advancements in AI’s capabilities. It also sets the stage for a transformative year ahead in the world of Generative media.
What Else Is Happening in AI on December 14th, 2023
OpenAI partners with Axel Springer to deepen beneficial use of AI in journalism.
Axel Springer is the first publishing house globally to partner with OpenAI on a deeper integration of journalism in AI technologies. The initiative will enrich users’ experience with ChatGPT by adding recent and authoritative content on a wide variety of topics, and explicitly values the publisher’s role in contributing to OpenAI’s products. (Link)
Accenture and Google Cloud launch joint Generative AI Center of Excellence.
It will provide businesses with the industry expertise, technical knowledge, and product resources to build and scale applications using Google Cloud’s generative AI portfolio and accelerate time-to-value. It will also help enterprises determine the optimal LLM– including Google’s latest model, Gemini– to use based on their business objectives. (Link)
Google Cloud partners with Mistral AI on generative language models.
Google Cloud and Mistral AI are partnering to allow the Paris-based generative AI startup to distribute its language models on the tech giant’s infrastructure. As part of the agreement, Mistral AI will use Google Cloud’s AI-optimized infrastructure, including TPU Accelerators, to further test, build, and scale up its LLMs. (Link)
Amazon CTO shares how to opt out of 3rd party AI partner access to your Dropbox. Check out the tweet here (Link)
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Grok expands access to 40+ countries.
Earlier, it was only available to Premium+ subscribers in the US. Check out the list of countries here. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 13: AI Daily News – December 13th, 2023
Microsoft released Phi-2, a SLM that beats the Llama 2
Channel 1 launches AI news anchors with superhuman abilities
AI built from living brain cells can recognise voices
Google loses antitrust trial against Epic Games
Mistral shocks AI community as latest open source model eclipses GPT-3.5 performance
Meta unveils Audiobox, an AI that clones voices and generates ambient sounds
Microsoft released Phi-2, a SLM that beats the Llama 2
Microsoft released Phi-2, a small language model AI with 2.7 billion parameters that outperforms Google’s Gemini Nano 2 & LIama 2. Phi-2 is small enough to run on a laptop or mobile device and delivers less toxicity and bias in its responses compared to other models.
It was also able to correctly answer complex physics problems and correct students’ mistakes, similar to Google’s Gemini Ultra model.
Here is the comparison between Phi-2 and Gemini Nano 2 Models on Gemini’s reported benchmarks. However, Phi-2 is currently only licensed for research purposes and cannot be used for commercial purposes.
Why does this matter?
Microsoft’s Phi-2 proved that victory doesn’t always belong to the biggest models. Even though it is compact in size, Phi-2 can outperform much larger models on important tasks like interpretability and fine-tuning. Its combination of efficiency and capabilities makes it ideal for researchers to experiment with easily. Phi-2 showcases good reasoning and language understanding, particularly in math and calculations.
Anthropic has Integrated Claude with Google Sheets
Anthropic launches a new prompt engineering tool that makes Claude accessible via spreadsheets. This allows API users to test and refine prompts within their regular workflows and spreadsheets, facilitating easy collaboration with colleagues
(This allows you to execute interactions with Claude directly in cells.)
Everything you need to know and how to get started with it.
Why does this matter?
Refining Claude’s capabilities through specialization empowers domain experts rather than replacing them. The tool’s collaborative nature also unlocks Claude’s potential at scale. Partners can curate prompts within actual projects and then implement them across entire workflows via API.
Channel 1 launches AI news anchors with superhuman abilities
Channel 1 will use AI-generated news anchors that have superhuman abilities. These photorealistic anchors can speak any language and even attempt humor.
They will curate personalized news stories based on individual interests, using AI to translate and analyze data. The AI can also create footage of events that were not captured by cameras.
While human reporters will still be needed for on-the-ground coverage, this AI-powered news network will provide personalized, up-to-the-minute updates and information.
Why does this matter?
It’s a quantum leap in broadcast technology. However, the true impact depends on the ethics behind these automated systems. As pioneers like Channel 1 shape the landscape, they must also establish its guiding principles. AI-powered news must put integrity first to earn public trust and benefit.
AI built from living brain cells can recognise voices
- Scientists created an AI system using living brain cells that can identify different people’s voices with 78% accuracy.
- The new “Brainoware” technology may lead to more powerful and energy-efficient computers that emulate human brain structure and functions.
- This advancement in AI and brain organoids raises ethical questions about the use of lab-grown brain tissue and its future as a person.
- Source
Google loses antitrust trial against Epic Games
- Google was unanimously found by a jury to have a monopoly with Google Play, losing the antitrust case brought by Epic Games.
- Epic Games seeks to enable developers to create their own app stores and use independent billing systems, with a final decision pending in January.
- Google contests the verdict and is set to argue that its platform offers greater choice in comparison to competitors like Apple.
- Source
Mistral shocks AI community as latest open source model eclipses GPT-3.5 performance
- Mistral, a French AI startup, released a powerful open source AI model called Mixtral 8x7B that rivals OpenAI’s GPT-3.5 and Meta’s Llama 2.
- The new AI model, Mixtral 8x7B, lacks safety guardrails, allowing for the generation of content without the content restrictions present in other models.
- Following the release, Mistral secured a $415 million funding round, indicating continued development of even more advanced AI models.
- Source
Meta unveils Audiobox, an AI that clones voices and generates ambient sounds
- Meta unveiled Audiobox, an AI tool for creating custom voices and sound effects, building on their Voicebox technology and incorporating automatic watermarking.
- The Audiobox platform provides advanced audio generation and editing capabilities, including the ability to distinguish generated audio from real audio to prevent misuse.
- Meta is committed to responsible AI development, highlighting its collaboration in the AI Alliance for open-source AI innovation and accountable advancement in the field.
- Source
What Else Is Happening in AI on December 13th, 2023
Tesla reveals its next-gen humanoid robot, Optimus Gen 2
It is designed to take over repetitive tasks from humans. The robot allows it to walk 30% faster and improve its balance. It also has brand-new hands that are strong enough to support significant weights and precise enough to handle delicate objects. Tesla plans to use the robot in its manufacturing operations and sell it. (Link)
https://twitter.com/i/status/1734756150137225501
Mozilla launches MemoryCache, An on-device, personal model with local files
MemoryCache includes a Firefox extension for saving pages and notes, a shell script for monitoring changes in the saved files, and code for updating the Firefox SaveAsPDF API. The project is currently being tested on a gaming PC with an Intel i7-8700 processor using the privateGPT model. (Link)
Meta rolling out multimodal AI features in the Ray-Ban smart glasses
The glasses’ virtual assistant can identify objects and translate languages, and users can summon it by saying, “Hey, Meta.” The AI assistant can also translate text, show image captions, and describe objects accurately. The test period will be limited to a small number of people in the US. (Link)
Snapchat+ subscribers can now create & send AI images based on text prompts
The new feature allows users to choose from a selection of prompts or type in their own, and the app will generate an image accordingly. Subscribers can also use the Dream Selfie feature with friends, creating fantastical images of themselves in different scenarios. Additionally, subscribers can access a new AI-powered extend tool that fills in the background of zoomed-in images. (Link)
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A New System reads minds using a sensor-filled helmet and AI
Scientists have developed a system that can translate a person’s thoughts into written words using a sensor-filled helmet and AI. It records the brain’s electrical activity through the scalp and converts it into text using an AI model called DeWave. Its accuracy is 40%, and recent data shows an improved accuracy of over 60%. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 12: AI Daily News – December 12th, 2023
Google introduces W.A.L.T, AI for photorealistic video generation
Alter3, a humanoid robot generating spontaneous motion using GPT-4
Financial news site uses AI to copy competitors
New model enables robots to recognize and follow humans
Semiconductor giants race to make next generation of cutting-edge chips
Nvidia emerges as leading investor in AI companies
Microsoft and labor unions form ‘historic’ alliance on AI
Google introduces W.A.L.T, AI for photorealistic video generation
Researchers from Google, Stanford, and Georgia Institute of Technology have introduced W.A.L.T, a diffusion model for photorealistic video generation. The model is a transformer trained on image and video generation in a shared latent space. It can generate photorealistic, temporally consistent motion from natural language prompts and also animate any image.
It has two key design decisions. First, it uses a causal encoder to compress images and videos in a shared latent space. Second, for memory and training efficiency, it uses a window attention-based transformer architecture for joint spatial and temporal generative modeling in latent space.
Why does this matter?
The end of the traditional filmmaking process may be near… W.A.L.T’s results are incredibly coherent and stable. While there are no human-like figures or representations in the output here, it might be possible quite soon (we just saw Animate Anyone a few days ago, which can create an animation of a person using just an image).
Runway introduces general world models
Runway is starting a new long-term research effort around what we call general world models. It belief behind this is that the next major advancement in AI will come from systems that understand the visual world and its dynamics.
A world model is an AI system that builds an internal representation of an environment and uses it to simulate future events within that environment. You can think of Gen-2 as very early and limited forms of general world models. However, it is still very limited in its capabilities, struggling with complex camera or object motions, among other things.
Why does this matter?
Research in world models has so far been focused on very limited and controlled settings, either in toy-simulated worlds (like those of video games) or narrow contexts (world models for driving). Runway aims to represent and simulate a wide range of situations and interactions, like those encountered in the real world. It would also involve building realistic models of human behavior, empowering AI systems further.
Alter3, a humanoid robot generating spontaneous motion using GPT-4
Researchers from Tokyo integrated GPT-4 into their proprietary android, Alter3, thereby effectively grounding the LLM with Alter’s bodily movement.
Typically, low-level robot control is hardware-dependent and falls outside the scope of LLM corpora, presenting challenges for direct LLM-based robot control. However, in the case of humanoid robots like Alter3, direct control is feasible by mapping the linguistic expressions of human actions onto the robot’s body through program code.
Remarkably, this approach enables Alter3 to adopt various poses, such as a ‘selfie’ stance or ‘pretending to be a ghost,’ and generate sequences of actions over time without explicit programming for each body part. This demonstrates the robot’s zero-shot learning capabilities. Additionally, verbal feedback can adjust poses, obviating the need for fine-tuning.
Why does this matter?
It signifies a step forward in AI-driven robotics. It can foster the development of more intuitive, responsive, and versatile robotic systems that can understand human instructions and dynamically adapt their actions. Advances in this can revolutionize diverse fields, from service robotics to manufacturing, healthcare, and beyond.
Financial news site uses AI to copy competitors
- A major financial news website, Investing.com, is using AI to generate stories that closely mimic those from competitor sites without giving credit.
- Investing.com’s AI-written articles often replicate the same data and insights found in original human-written content, raising concerns about copyright.
- While the site discloses its use of AI for content creation, it fails to attribute the original sources, differentiating it from typical news aggregators.
- Source
New model enables robots to recognize and follow humans
- Italian researchers developed a new computational model enabling robots to recognize and follow specific users based on a refined analysis of images captured by RGB cameras.
- Robots using this framework can operate on commands given through user’s hand gestures and have shown robust performance in identifying people even in crowded spaces.
- Although effective, the model must be recalibrated if a person’s appearance changes significantly, and future improvements may include advanced learning methods for greater adaptability.
- Source
Nvidia emerges as leading investor in AI companies
- Nvidia has significantly increased its investments in AI startups in 2023, participating in 35 deals, which is almost six times more than in 2022, making it the most active large-scale investor in the AI sector.
- The investments by Nvidia, primarily through its venture arm NVentures, target companies that are also its customers, with interests in AI platforms and applications in various industries like healthcare and energy.
- Nvidia’s strategy involves both seeking healthy returns and strategic partnerships, but denies prioritizing its portfolio companies for chip access, despite investing in high-profile AI companies like Inflection AI and Cohere.
- Source
Microsoft and labor unions form ‘historic’ alliance on AI
- Microsoft is partnering with the AFL-CIO labor union to facilitate discussions on artificial intelligence’s impact on the workforce.
- The collaboration will include training for labor leaders and workers on AI, with aim to shape AI technology by incorporating workers’ perspectives.
- This alliance is considered historic as it promises to influence public policy and the future of AI in relation to jobs and unionization at Microsoft.
- Source
What Else Is Happening in AI on December 12th, 2023
An AI chatbot will take your order at more Wendy’s drive-thrus.
Wendy’s is expanding its test of an AI-powered chatbot that takes orders at the drive-thru. Franchisees will get the chance to test the product in 2024. The tool, powered by Google Cloud’s AI software, is currently active in four company-operated restaurants near Columbus, Ohio. (Link)
Microsoft and Labor Unions form a ‘historic’ alliance on AI and its work impact.
Microsoft is teaming up with labor unions to create “an open dialogue” on how AI will impact workers. It is forming an alliance with the American Federation of Labor and Congress of Industrial Organizations, which comprises 60 labor unions representing 12.5 million workers. Microsoft will also train workers on how the tech works. (Link)
Nvidia to expand ties with Vietnam, and support AI development.
The chipmaker will expand its partnership with Vietnam’s top tech firms and support the country in training talent for developing AI and digital infrastructure. Reuters reported last week Nvidia was set to discuss cooperation deals on semiconductors with Vietnamese tech companies and authorities in a meeting on Monday. (Link)
OpenAI is working to make GPT-4 less lazy.
The company acknowledged on Friday that ChatGPT has been phoning it in lately (again), and is fixing it. Then overnight, it made a series of posts about the chatbot training process, saying it must evaluate the model using certain metrics– AI benchmarks, you might say — calling it “an artisanal multi-person effort.” (Link)
This is how much AI Engineers earn in top companies
A Daily Chronicle of AI Innovations in December 2023 – Day 11: AI Daily News – December 11th, 2023
Google releases NotebookLM with Gemini Pro
Berkeley Research’s real-world humanoid locomotion
OpenAI says it is investigating reports ChatGPT has become ‘lazy’
Grok AI was caught plagiarizing ChatGPT
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
Google releases NotebookLM with Gemini Pro
Google on Friday announced that NotebookLM, its experimental AI-powered note-taking app, is now available to users in the US. The app is also getting many new features with Gemini Pro integration. Here are a few highlights:
Save interesting exchanges as notes
A new noteboard space where you can easily pin quotes from the chat, excerpts from your sources, or your own written notes. Like before, NotebookLM automatically shares citations from your sources whenever it answers a question. But now you can quickly jump from a citation to the source, letting you see the quote in its original context.
Helpful suggested actions
When you select a passage while reading a source, NotebookLM will automatically offer to summarize the text to a new note or help you understand technical language or complicated ideas.
Various formats for different writing projects
It has new tools to help you organize your curated notes into structured documents. Simply select a set of notes you’ve collected and ask NotebookLM to create something new. It will automatically suggest a few formats, but you can type any instructions into the chat box.
Read everything about what’s new.
Why does this matter?
Google’s NotebookLM, fueled by LLM Gemini Pro, transforms document handling. It offers automated summaries, insightful questions, and structured note organization, revolutionizing productivity with AI-powered efficiency and smarter document engagement.
Mistral AI’s torrent-based release of Mixtral 8x7B
Mistral AI has released its latest LLM, Mixtral 8x7B, via a torrent link. It is a high-quality sparse mixture of experts model (SMoE) with open weights. It outperforms Llama 2 70B on most benchmarks with 6x faster inference and matches or outperforms GPT3.5. It is pre-trained on data from the open Web.
Mixtral matches or outperforms Llama 2 70B, as well as GPT3.5, on most benchmarks.
Why does this matter?
Mixtral 8x7B outperforms bigger counterparts like Llama 2 70B and matches/exceeds GPT3.5 by maintaining the speed and cost of a 12B model. It is a leap forward in AI model efficiency and capability.
Berkeley Research’s real-world humanoid locomotion
Berkeley Research has released a new paper that discusses a learning-based approach for humanoid locomotion, which has the potential to address labor shortages, assist the elderly, and explore new planets. The controller used is a Transformer model that predicts future actions based on past observations and actions.
The model is trained using large-scale reinforcement learning in simulation, allowing for parallel training across multiple GPUs and thousands of environments.
Why does this matter?
Berkeley Research’s novel approach to humanoid locomotion will help with vast real-world implications. This innovation holds promise for addressing labor shortages, aiding the elderly, and much more.
OpenAI says it is investigating reports ChatGPT has become ‘lazy’
- OpenAI acknowledges user complaints that ChatGPT seems “lazy,” providing incomplete answers or refusing tasks.
- Users speculate that OpenAI might have altered ChatGPT to be more efficient and reduce computing costs.
- Despite user concerns, OpenAI confirms no recent changes to ChatGPT and is investigating the unpredictable behavior.
- Source
Grok AI was caught plagiarizing ChatGPT
- Elon Musk’s new AI, Grok, had a problematic launch with reports of it mimicking competitor ChatGPT and espousing viewpoints Musk typically opposes.
- An xAI engineer explained that Grok inadvertently learned from ChatGPT’s output on the web, resulting in some overlapping behaviors.
- The company recognized the issue as rare and promised that future versions of Grok will not repeat the error, denying any use of OpenAI’s code.
- Source
What Else Is Happening in AI on December 11th, 2023
OpenAI connects with Rishi Jaitly, former head of Twitter India, to engage with Indian government on AI regulations
OpenAI has enlisted the help of former Twitter India head Rishi Jaitly as a senior advisor to facilitate discussions with the Indian government on AI policy. OpenAI is also looking to establish a local team in India. Jaitly has been assisting OpenAI in navigating the Indian policy and regulatory landscape. (Link)
EU Strikes a deal to regulate ChatGPT
The European Union has reached a provisional deal on landmark rules governing the use of AI. The deal includes regulations on the use of AI in biometric surveillance and the regulation of AI systems like ChatGPT. (Link)
Microsoft is reportedly planning to release Windows 12 in the 2nd half of 2024
This update, codenamed “Hudson Valley,” will strongly focus on AI and is currently being tested in the Windows Insider Canary channel. Key features of Hudson Valley include an AI-driven Windows Shell and an advanced AI assistant called Copilot, which will improve functions such as search, application launches, and workflow management. (Link)
Google’s Gemini received mixed reviews after a demo video went viral
However, it was later revealed that the video was faked, using carefully selected text prompts and still images to misrepresent the model’s capabilities. While Gemini can generate the responses shown in the video, viewers were misled about the speed, accuracy, and mode of interaction. (Link)
Seattle’s biotech hub secures $75M from tech billionaires to advance ‘DNA typewriter’ tech
Seattle’s biotech hub, funded with $75M from the Chan-Zuckerberg Initiative and the Allen Institute, is researching “DNA typewriters” that could revolutionize our understanding of biology. The technology involves using DNA as a storage medium for information, allowing researchers to track a cell’s experiences over time. (Link)
How to Find any public GPT by using Boolean search?
Below is a method to find ALL the public GPTs. You can use Boolean methodology to search any GPT.
Example Boolean string to paste in google (this includes ever single gpt that is public) : site:*.openai.com/g
Let’s say you want to search for something, just modify the word Canada in the following string to whatever you want. You can add words as long as they are separated by Boolean operators (OR, AND, etc)
site:*.openai.com/g “canada”
And for something more complex:
site:*.openai.com/g French AND (Translate OR Translator OR Traducteur OR Traduction)
You could even use this methodology to build a GPT that searches for GPTs.
I’m honestly surprised not more people know about Boolean searching.
A Daily Chronicle of AI Innovations in December 2023 – Day 09-10: AI Daily News – December 10th, 2023
EU agrees ‘historic’ deal with world’s first laws to regulate AI
Senior OpenAI employees claimed Sam Altman was ‘psychologically abusive’
Apple has seemingly found a way to block Android’s new iMessage app
EU agrees ‘historic’ deal with world’s first laws to regulate AI
- European negotiators have agreed on a historic deal to regulate artificial intelligence after intense discussions.
- The new laws, set to take effect no earlier than 2025, include a tiered risk-based system for AI regulation and provisions for AI-driven surveillance, with strict restrictions and exceptions for law enforcement.
- Though the agreement still requires approval from the European Parliament and member states, it signifies a significant move towards governing AI in the western world.
- Source
Senior OpenAI employees claimed Sam Altman was ‘psychologically abusive’
- Senior OpenAI employees accused CEO Sam Altman of being “psychologically abusive,” causing chaos, and pitting employees against each other, leading to his temporary dismissal.
- Allegations also included Altman misleading the board to oust board member Helen Toner, and concerns about his honesty and management style prompted a board review.
- Despite these issues, Altman was reinstated as CEO following a demand by the senior leadership team and the resignation of most board members, including co-founder Ilya Sutskever, who later expressed regret over his involvement in the ousting.
- Source
Apple has seemingly found a way to block Android’s new iMessage app
- Apple has stopped Beeper, a service that enabled iMessage-like features on Android, and faced no EU regulatory action.
- Efforts by Nothing and Beeper to bring iMessage to Android failed due to security issues and Apple’s intervention.
- Apple plans to support RCS messaging next year, improving Android-to-iPhone messages without using iMessage.
- Source
CRISPR-based gene editing therapy approved by the FDA for the first time
- The FDA approved two new sickle cell disease treatments, including the first-ever CRISPR genome editing therapy, Casgevy, for patients 12 and older.
- Casgevy utilizes CRISPR/Cas9 technology to edit patients’ stem cells, which are then reinfused after a chemotherapy process to create healthy blood cells.
- These groundbreaking treatments show promising results, with significant reductions in severe pain episodes for up to 24 months in clinical studies.
- Source
The FTC is scrutinizing Microsoft’s $13 billion investment in OpenAI for potential antitrust issues, alongside UK’s CMA concerns regarding market dominance. Source
Mistral AI disrupts traditional release strategies by unexpectedly launching their new open source LLM via torrent, sparking considerable community excitement. Source
A Daily Chronicle of AI Innovations in December 2023 – Day 8: AI Daily News – December 08th, 2023
Stability AI reveals StableLM Zephyr 3B, 60% smaller yet accurate
Meta released an update to Codec Avatars with lifelike animated faces
Stability AI reveals StableLM Zephyr 3B, 60% smaller yet accurate
StableLM Zephyr 3B is a new addition to StableLM, a series of lightweight Large Language Models (LLMs). It is a 3 billion parameter model that is 60% smaller than 7B models, making it suitable for edge devices without high-end hardware. The model has been trained on various instruction datasets and optimized using the Direct Preference Optimization (DPO) algorithm.
It generates contextually relevant and accurate text well, surpassing larger models in similar use cases. StableLM Zephyr 3B can be used for a wide range of linguistic tasks, from Q&A-type tasks to content personalization, while maintaining its efficiency.
Why does this matter?
Tested on platforms like MT Bench and AlpacaEval, StableLM Zephyr 3B shows it can create text that makes sense, fits the context, and is linguistically accurate. In these tests, it competes well with bigger models like Falcon-4b-Instruct, WizardLM-13B-v1, Llama-2-70b-chat, and Claude-V1.
Meta launches Purple Llama for Safe AI development
Meta has announced the launch of Purple Llama, an umbrella project aimed at promoting the safe and responsible development of AI models. Purple Llama will provide tools and evaluations for cybersecurity and input/output safeguards. The project aims to address risks associated with generative AI models by taking a collaborative approach known as purple teaming, which combines offensive (red team) and defensive (blue team) strategies.
The cybersecurity tools will help reduce the frequency of insecure code suggestions and make it harder for AI models to generate malicious code. The input/output safeguards include an openly available foundational model called Llama Guard to filter potentially risky outputs.
This model has been trained on a mix of publicly available datasets to enable the detection of common types of potentially risky or violating content that may be relevant to a number of developer use cases. Meta is working with numerous partners to create an open ecosystem for responsible AI development.
Why does this matter?
Meta’s strategic shift toward AI underscores its commitment to ethical AI. Their collaborative approach to building a responsible AI environment emphasizes the importance of enhancing AI safety, which is crucial in today’s rapidly evolving tech landscape.
Meta released an update to Codec Avatars with lifelike animated faces
Meta Research’s work presents Relightable Gaussian Codec Avatars, a method to create high-quality animated head avatars with realistic lighting and expressions. The avatars capture fine details like hair strands and pores using a 3D Gaussian geometry model. A novel relightable appearance model allows for real-time relighting with all-frequency reflections.
The avatars also have improved eye reflections and explicit gaze control. The method outperforms existing approaches without sacrificing real-time performance. The avatars can be rendered in real-time from any viewpoint in VR and support interactive point light control and relighting in natural illumination.
Why does this matter?
With the help of Codec Avatars soon, this technology will enable us to communicate with someone as if they were sitting across from us, even if they’re miles apart. Also, This leads to incredibly detailed real-time avatars, precise down to individual hair strands!
Nudify Apps That Use AI to ‘Undress’ Women in Photos Are Soaring in Popularity
Apps and websites that use artificial intelligence to undress women in photos are gaining popularity, with millions of people visiting these sites.
The rise in popularity is due to the release of open source diffusion models that create realistic deepfake images.
These apps are part of the concerning trend of non-consensual pornography, as the images are often taken from social media without consent.
Privacy experts are worried that advances in AI technology have made deepfake software more accessible and effective.
There is currently no federal law banning the creation of deepfake pornography.
Source : https://time.com/6344068/nudify-apps-undress-photos-women-artificial-intelligence/
What Else Is Happening in AI on December 08th, 2023
AMD predicts the market for its data center AI processors will reach $45B
An increase from its previous estimate of $30B, the company also announced the launch of 2 new AI data center chips from its MI300 lineup, one for generative AI applications and another for supercomputers. AMD expects to generate $2B in sales from these chips by 2024. (Link)
Inflection AI’s Pi is now available on Android!
The Android app is available in 35 countries and offers text and hands-free calling features. Pi can be accessed through WhatsApp, Facebook Messenger, Instagram DM, and Telegram. The app also introduces new features like back-and-forth conversations and the ability to choose from 6 different voices. (Link)
X started rolling Grok to X premium users in the US
Grok uses a generative model called Grok-1, trained on web data and feedback from human assistants. It can also incorporate real-time data from X posts, giving it an advantage over other chatbots in providing up-to-date information. (Link)
Google Chrome could soon let you use AI to create a personalized theme
The latest version of Google Chrome Canary includes a new option called ‘Create a theme with AI’, which replaces the ‘Wallpaper search’ option. An ‘Expanded theme gallery’ option will also be available, offering advanced wallpaper search options. (Link)
Pimento uses AI to turn creative briefs into visual mood boards
French startup Pimento has raised $3.2M for its gen AI tool that helps creative teams with ideation, brainstorming, and moodboarding. The tool allows users to compile a reference document with images, text, and colors that will inspire and guide their projects. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 7: AI Daily News – December 07th, 2023
Google launches Gemini, its largest, most capable model yet
Apple quietly releases a framework, MLX, to build foundation models
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
Google launches Gemini, its largest, most capable model yet
It looks like ChatGPT’s ultimate competitor is here. After much anticipation, Google has launched Gemini, its most capable and general model yet. Here’s everything you need to know:
- Built from the ground up to be multimodal, it can generalize and understand, operate across and combine different types of information, including text, code, audio, image, and video. (Check out this incredible demo)
- Its first version, Gemini 1.0, is optimized for different sizes: Ultra for highly complex tasks, Pro for scaling across a wide range of tasks, and Nano as the most efficient model for on-device tasks.
- Gemini Ultra’s performance exceeds current SoTA results on 30 of the 32 widely-used academic benchmarks used in LLM R&D.
- With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU.
- It has next-gen capabilities– sophisticated reasoning, advanced math and coding, and more.
- Gemini 1.0 is now rolling out across a range of Google products and platforms– Pro in Bard (Bard will now be better and more usable), Nano on Pixel, and Ultra will be rolling out early next year.
Why does this matter?
Gemini outperforms GPT-4 on a range of multimodal benchmarks, including text and coding. Gemini Pro outperforms GPT-3.5 on 6/8 benchmarks, making it the most powerful free chatbot out there today. It highlights Gemini’s native multimodality that can threaten OpenAI’s dominance and indicate early signs of Gemini’s more complex reasoning abilities.
However, the true test of Gemini’s capabilities will come from everyday users. We’ll have to wait and see if it helps Google catch up to OpenAI and Microsoft in the race to build great generative AI.
Meta’s new image AI and core AI experiences across its apps family
Meta is rolling out a new, standalone generative AI experience on the web, Imagine with Meta, that creates images from natural language text prompts. It is powered by Meta’s Emu and creates 4 high-resolution images per prompt. It’s free to use (at least for now) for users in the U.S. It is also rolling out invisible watermarking to it.
Meta is also testing more than 20 new ways generative AI can improve your experiences across its family of apps– spanning search, social discovery, ads, business messaging, and more. For instance, it is adding new features to the messaging experience while also leveraging it behind the scenes to power smart capabilities.
Another instance, it is testing ways to easily create and share AI-generated images on Facebook.
Why does this matter?
Meta has been at the forefront of AI research which will help unlock new capabilities in its products over time, akin to other Big Techs. And while it still just scratching the surface of what AI can do, it is continually listen to people’s feedback and improving.
Apple quietly releases a framework to build foundation models
Apple’s ML research team released MLX, a machine learning framework where developers can build models that run efficiently on Apple Silicon and deep learning model library MLX Data. Both are accessible through open-source repositories like GitHub and PyPI.
MLX is intended to be easy to use for developers but has enough power to train AI models like Meta’s Llama and Stable Diffusion. The video is a Llama v1 7B model implemented in MLX and running on an M2 Ultra.
Why does this matter?
Frameworks and model libraries help power many of the AI apps in the market now. And Apple, thought seen as conservative, has joined the fray with frameworks and model libraries tailored for its chips, potentially enabling generative AI applications on MacBooks. With MLX, you can:
- Train a Transformer LM or fine-tune with LoRA
- Text generation with Mistral
- Image generation with Stable Diffusion
- Speech recognition with Whisper
What Else Is Happening in AI on December 07th, 2023
Google unveils AlphaCode 2, powered by Gemini.
It is an improved version of the code-generating AlphaCode introduced by Google’s DeepMind lab roughly a year ago. In a subset of programming competitions hosted on Codeforces, a platform for programming contests, AlphaCode 2– coding in languages Python, Java, C++, and Go– performed better than an estimated 85% of competitors. (Link)
Google announces the Cloud TPU v5p, its most powerful AI accelerator yet.
With Gemini’s launch, Google also launched an updated version of its Cloud TPU v5e, which launched into general availability earlier this year. A v5p pod consists of a total of 8,960 chips and is backed by Google’s fastest interconnect yet, with up to 4,800 Gpbs per chip. Google observed 2X speedups for LLM training workloads using TPU v5p vs. v4. (Link)
AMD’s Instinct MI300 AI chips to challenge Nvidia; backed by Microsoft, Dell, And HPE.
The chips– which are also getting support from Lenovo, Supermicro, and Oracle– represent AMD’s biggest challenge yet to Nvidia’s AI computing dominance. It claims that the MI300X GPUs, which are available in systems now, come with better memory and AI inference capabilities than Nvidia’s H100. (Link)
McDonald’s will use Google AI to make sure your fries are fresh, or something?
McDonald’s is partnering with Google to deploy generative AI beginning in 2024 and will be able to use GenAI on massive amounts of data to optimize operations. At least one outcome will be– according to the company– “hotter, fresher food” for customers. While that’s unclear, we can expect more AI-driven automation at the drive-throughs. (Link)
Gmail gets a powerful AI update to fight spam with the ‘RETVec’ feature.
The update, known as RETVec (Resilient and Efficient Text Vectorizer), helps make text classifiers more efficient and robust. It works conveniently across all languages and characters. Google has made it open-source, allowing developers to use its capabilities to invent resilient and efficient text classifiers for server-side and on-device applications. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 6: AI Daily News – December 06th, 2023
Microsoft Copilot celebrates the first year with significant new innovations
DeepMind’s new way for AI to learn from humans in real-time
Microsoft Copilot celebrates the first year with significant new innovations
Celebrating the first year of Microsoft Copilot, Microsoft announced several new features that are beginning to roll out:
- GPT-4 Turbo is coming soon to Copilot: It will be able to generate responses using GPT-4 Turbo, enabling it to take in more “data” with 128K context window. This will allow Copilot to better understand queries and offer better responses.
- New DALL-E 3 Model: You can now use Copilot to create images that are even higher quality and more accurate to the prompt with an improved DALL-E 3 model. Here’s a comparison.
- Multi-Modal with Search Grounding: Combining the power of GPT-4 with vision with Bing image search and web search data to deliver better image understanding for your queries. The results are pretty impressive.
- Code Interpreter: A new capability that will enable you to perform complex tasks such as more accurate calculation, coding, data analysis, visualization, math, and more.
- Video understanding and Q&A– Copilot in Edge: Summarize or ask questions about a video that you are watching in Edge.
- Inline Compose with rewrite menu: With Copilot, Microsoft Edge users can easily write from most websites. Just select the text you want to change and ask Copilot to rewrite it for you.
- Deep Search in Bing (more about it in the next section)
All features will be widely available soon.
Why does this matter?
Microsoft seems committed to bringing more innovation and advanced capabilities to Copilot. It is also capitalizing on its close partnership with OpenAI and making OpenAI’s advancements accessible with Copilot, paving the way for more inclusive and impactful AI utilization.
Bing’s new “Deep Search” finds deeper, relevant results for complex queries
Microsoft is introducing Deep Search in Bing to provide more relevant and comprehensive answers to the most complex search queries. It uses GPT-4 to expand a search query into a more comprehensive description of what an ideal set of results should include. This helps capture intent and expectations more accurately and clearly.
Bing then goes much deeper into the web, pulling back relevant results that often don’t show up in typical search results. This takes more time than normal search, but Deep Search is not meant for every query or every user. It’s designed for complex questions that require more than a simple answer.
Deep Search is an optional feature and not a replacement for Bing’s existing web search, but an enhancement that offers the option for a deeper and richer exploration of the web.
Why does this matter?
This may be one of the most important advances in search this year. It should be less of a struggle to find answers to complex, nuanced, or specific questions. Let’s see if it steals some traffic from Google, but it also seems similar to the Copilot search feature powered by GPT-4 in the Perplexity Pro plan.
DeepMind’s new way for AI to learn from humans in real-time
Google DeepMind has developed a new way for AI agents to learn from humans in a rich 3D physical simulation. This allows for robust real-time “cultural transmission” (a form of social learning) without needing large datasets.
The system uses deep reinforcement learning combined with memory, attention mechanisms, and automatic curriculum learning to achieve strong performance. Tests show that it can generalize across a wide task space, recall demos with high fidelity when the expert drops out, and closely match human trajectories with goals.
Why does this matter?
This can be a stepping stone towards how AI systems accumulate knowledge and intelligence over time, just like humans. It is crucial for many real-world applications, from construction sites to household robots, where human data collection is costly, the tasks have inherent variation, and privacy is at a premium.
BREAKING: Google just released its ChatGPT Killer
It’s called Gemini and here’s everything you need to know:
• It’s Google’s biggest and most powerful AI model
• It can take inputs in text, code, audio, image and video
• It comes in 3 sizes: Ultra Pro and Nano to function across a broad range of devices including smartphones
• It looks like it could potentially beat OpenAI’s GPT-4 and ChatGPT as it tops 30 of 32 AI AI model performance benchmarks.
State-of-the-art performance
We’ve been rigorously testing our Gemini models and evaluating their performance on a wide variety of tasks. From natural image, audio and video understanding to mathematical reasoning, Gemini Ultra’s performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development.
With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities.
Our new benchmark approach to MMLU enables Gemini to use its reasoning capabilities to think more carefully before answering difficult questions, leading to significant improvements over just using its first impression.
Gemini surpasses state-of-the-art performance on a range of benchmarks including text and coding.
Gemini Ultra also achieves a state-of-the-art score of 59.4% on the new MMMU benchmark, which consists of multimodal tasks spanning different domains requiring deliberate reasoning.
With the image benchmarks we tested, Gemini Ultra outperformed previous state-of-the-art models, without assistance from object character recognition (OCR) systems that extract text from images for further processing. These benchmarks highlight Gemini’s native multimodality and indicate early signs of Gemini’s more complex reasoning abilities.
See more details in our Gemini technical report.
Gemini surpasses state-of-the-art performance on a range of multimodal benchmarks.
Gemini is better than chatgpt-4 on sixteen different benchmarks
Factual accuracy: Up to 20% improvement
Reasoning and problem-solving: Up to 30% improvement
Creativity and expressive language: Up to 15% improvement
Safety and ethics: Up to 10% improvement
Multimodal learning: Up to 25% improvement
Zero-shot learning: Up to 35% improvement
Few-shot learning: Up to 40% improvement
Language modeling: Up to 15% improvement
Machine translation: Up to 20% improvement
Text summarization: Up to 18% improvement
Personalization: Up to 22% improvement
Accessibility: Up to 25% improvement
Explainability: Up to 17% improvement
Speed: Up to 28% improvement
Scalability: Up to 33% improvement
Energy efficiency: Up to 21% improvement
Gemini Nano is a native, local-first version of Google’s new large language model, meant to make your device smarter and faster without needing an internet connection.
Gemini may be the biggest, most powerful large language model, or LLM, Google has ever developed, but it’s better suited to running in data centers than on your phone. With Gemini Nano, though, the company is trying to split the difference: it built a reduced version of its flagship LLM that can run locally and offline on your device. Well, a device, anyway. The Pixel 8 Pro is the only Nano-compatible phone so far, but Google sees the new model as a core part of Android going forward.
If you have a Pixel 8 Pro, starting today, two things on your phone will be powered by Gemini Nano: the auto-summarization feature in the Recorder app, and the Smart Reply part of the Gboard keyboard. Both are coming as part of the Pixel’s December Feature Drop. Both work offline since the model is running on the device itself, so they should feel fast and native.
Google is starting out quite small with Gemini Nano. Even the Smart Reply feature is only Gemini-powered in WhatsApp, though Google says it’s coming to more apps next year. And Gemini as a whole is only rolling out in English right now, which means many users won’t be able to use it at all. Your Pixel 8 Pro won’t suddenly feel like a massively upgraded device — though it might over time, if Gemini is as good as Google thinks it can be. And next year, when Google brings a Gemini-powered Bard to Assistant on Pixel phones, you’ll get even more of the Gemini experience.
Nano is the smallest (duh) of the Gemini models, but Demis Hassabis, the CEO of Google DeepMind, says it still packs a punch. “It has to fit on a footprint, right?” he says. “The very small footprint of a Pixel phone. So there’s memory constraints, speed constraints, all sorts of things. It’s actually an incredible model for its size — and obviously it can benefit from the bigger models by distilling from them and that sort of thing.” The goal for Nano was to create a version of Gemini that is as capable as possible without eating your phone’s storage or heating the processor to the temperature of the sun.
Google is also working on a way to build Nano into Android as a whole
Right now, Google’s Tensor 3 processor seems to be the only one capable of running the model. But Google is also working on a way to build Nano into Android as a whole: it launched a new system service called AICore that developers can use to bring Gemini-powered features into their apps. Your phone will still need a pretty high-end chip to make it work, but Google’s blog post announcing the feature mentions Qualcomm, Samsung, and MediaTek as companies making compatible processors. Developers can get into Google’s early access program now.
For the last couple of years, Google has talked about its Pixel phones as essentially AI devices. With Tensor chips and close connection to all of Google’s services, they’re supposed to get better and smarter over time. With Gemini Nano, that could eventually become true for lots of high-end Android devices. For now, it’s just a good reason to splurge on the Pixel 8 Pro.
Klarna freezes hiring because AI can do the job instead
- Klarna CEO Sebastian Siemiatkowski has implemented a hiring freeze, anticipating that AI advancements will allow technology to perform tasks previously done by humans.
- Despite recently achieving its first quarterly profit in four years and planning for an IPO, Klarna is not recruiting new staff, with Siemiatkowski citing AI’s ability to streamline operations and reduce the need for human labor.
- The company, which employs over 5,000 people, is already using AI tools to analyze customer service records and automate order disputes.
- Source
Meta and IBM form open-source alliance to counter big AI players
- Meta and IBM have formed the AI Alliance with 50 companies, universities, and other entities to promote responsible, open-sourced AI, positioning themselves as competitors to OpenAI and other leaders in the AI industry.
- The alliance includes major open-sourced AI models like Llama2, Stable Diffusion, StarCoder, and Bloom, and features notable members such as Hugging Face, Intel, AMD, and various educational institutions.
- Their goals include advancing open foundation models, developing tools for responsible AI development, fostering AI hardware acceleration, and educating the public and regulators about AI’s risks and benefits.
- Source
A Daily Chronicle of AI Innovations in December 2023 – Day 5: AI Daily News – December 05th, 2023
Runway partners with Getty Images to build enterprise AI tools
Microsoft’s ‘Seeing AI App’ now on Android with 18 languages
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
Runway partners with Getty Images to build enterprise AI tools
Runway is partnering with Getty Images to develop AI tools for enterprise customers. This collaboration will result in a new video model that combines Runway’s technology with Getty Images’ licensed creative content library.
This model will allow companies to create HQ-customized video content by fine-tuning the baseline model with their own proprietary datasets. It will be available for commercial use in the coming months. RunwayML currently has a waiting list.
Why does this matter?
This partnership aims to enhance creative capabilities in various industries, such as Hollywood studios, advertising, media, and broadcasting. The new AI tools will provide enterprises with greater creative control and customization, making it easier to produce professional, engaging, and brand-aligned video content.
IBM introduces next-gen Quantum Processor & Quantum System Two
IBM introduces Next-Generation Quantum Processor & IBM Quantum System Two. This next-generation Quantum Processor is called IBM Quantum Heron, which offers a five-fold improvement in error reduction compared to its predecessor.
IBM Quantum System Two is the first modular quantum computer, which has begun operations with three IBM Heron processors.
IBM has extended its Quantum Development Roadmap to 2033, with a focus on improving gate operations to scale with quality towards advanced error-corrected systems.
Additionally, IBM announced Qiskit 1.0, the world’s most widely used open-source quantum programming software, and showcased generative AI models designed to automate quantum code development and optimize quantum circuits.
Why does this matter?
Jay Gambetta, VP of IBM, said, “This is a significant step towards broadening how quantum computing can be accessed and put in the hands of users as an instrument for scientific exploration.”
Also, with advanced hardware across easy-to-use software that IBM is debuting in Qiskit, users and computational scientists can now obtain reliable results from quantum systems as they map increasingly larger and more complex problems to quantum circuits.
Microsoft’s ‘Seeing AI App’ now on Android with 18 languages
Microsoft has launched the Seeing AI app on Android, offering new features and languages. The app, which narrates the world for blind and low-vision individuals, is now available in 18 languages, with plans to expand to 36 by 2024.
The Android version includes new generative AI features, such as richer descriptions of photos and the ability to chat with the app about documents. Seeing AI allows users to point their camera or take a photo to hear a description and offers various channels for specific information, such as text, documents, products, scenes, and more.
You can Download Android Seeing AI from the Play Store and the iOS from the App Store.
Why does this matter?
There are over 3B active Android users worldwide, and bringing Seeing AI to this platform will provide so many more people in the blind and low vision community the ability to utilize this technology in their everyday lives.
What Else Is Happening in AI on December 05th, 2023
Owner of TikTok set to launch the ‘AI Chatbot Development Platform’
TikTok owner ByteDance is set to launch an open platform for users to create their own chatbots as the company aims to catch up in the generative AI market. The “bot development platform” will be launched as a public beta by the end of the month. (Link)
Samsung is set to launch its AI-powered Galaxy Book 4 notebooks on Dec 15
The laptops will feature Intel’s next-gen SoC with a built-in Neural Processing Unit (NPU) for on-device AI and Samsung’s in-house gen AI model, Gauss. Gauss includes a language model, coding assistant, and image model. (Link)
NVIDIA to build AI Ecosystem in Japan, partners with companies & startups
NVIDIA plans to set up an AI research laboratory and invest in local startups to foster the development of AI technology in the country. They also aim to educate the public on using AI and its potential impact on various industries and everyday life. (Link)
Singapore plans to triple its AI workforce to 15K
By training locals and hiring from overseas, according to Deputy Prime Minister Lawrence Wong. The city-state aims to fully leverage AI’s capabilities to improve lives while also building a responsible and trusted ecosystem. Singapore’s revised AI strategy focuses on developing data, ML scientists, and engineers as the backbone of AI. (Link)
IIT Bombay joins Meta & IBM’s AI Alliance group for AI open-source development
The alliance includes over 50 companies and organizations like Intel, Oracle, AMD, and CERN. The AI Alliance aims to advance the ecosystem of open foundation models, including multilingual, multi-modal, and science models that can address societal challenges. (Link)
A Daily Chronicle of AI Innovations in December 2023 – Day 4: AI Daily News – December 04th, 2023
Meta’s Audiobox advances controllability for AI audio
Mozilla lets you turn LLMs into single-file executables
Alibaba’s Animate Anyone may be the next breakthrough in AI animation
OpenAI committed to buying $51 million of AI chips from startup… backed by CEO Sam Altman
ChatGPT is writing legislation now
Google reveals the next step in its war on ad blockers: slower extension updates
AstraZeneca ties up with AI biologics company to develop cancer drug
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
Amazon’s AI Reportedly Suffering “Severe Hallucinations” and “Leaking Confidential Data”
Amazon’s Q has ‘severe hallucinations’ and leaks confidential data in public preview, employees warn. Some hallucinations could ‘potentially induce cardiac incidents in Legal,’ according to internal documents
What happened:
Three days after Amazon announced its AI chatbot Q, some employees are sounding alarms about accuracy and privacy issues. Q is “experiencing severe hallucinations and leaking confidential data,” including the location of AWS data centers, internal discount programs, and unreleased features, according to leaked documents obtained by Platformer.
An employee marked the incident as “sev 2,” meaning an incident bad enough to warrant paging engineers at night and make them work through the weekend to fix it.
But Amazon played down the significance of the employee discussions (obviously):
“Some employees are sharing feedback through internal channels and ticketing systems, which is standard practice at Amazon,” a spokesperson said. “No security issue was identified as a result of that feedback. We appreciate all of the feedback we’ve already received and will continue to tune Q as it transitions from being a product in preview to being generally available.”
Source (Platformer and Futurism)
Meta’s Audiobox advances controllability for AI audio
Audiobox is Meta’s new foundation research model for audio generation. The successor to Voicebox, it is advancing generative AI for audio further by unifying generation and editing capabilities for speech, sound effects (short, discrete sounds like a dog bark, car horn, a crack of thunder, etc.), and soundscapes, using a variety of input mechanisms to maximize controllability.
Most notably, Audiobox lets you use natural language prompts to describe a sound or type of speech you want. You can also use it combined with voice inputs, thus making it easy to create custom audio for a wide range of use cases.
Why does this matter?
Audiobox demonstrates state-of-the-art controllability in speech and sound effects generation with AI. With it, developers can easily build a more dynamic and wide range of use cases without needing deep domain expertise. It can transform diverse media, from movies to podcasts, audiobooks, and video games.
(Source)
Mozilla lets you turn LLMs into single-file executables
LLMs for local use are usually distributed as a set of weights in a multi-gigabyte file. These cannot be directly used on their own, making them harder to distribute and run compared to other software. A given model can also have undergone changes and tweaks, leading to different results if different versions are used.
To help with that, Mozilla’s innovation group has released llamafile, an open-source method of turning a set of weights into a single binary that runs on six different OSs (macOS, Windows, Linux, FreeBSD, OpenBSD, and NetBSD) without needing to be installed. This makes it dramatically easier to distribute and run LLMs and ensures that a particular version of LLM remains consistent and reproducible forever.
Why does this matter?
This makes open-source LLMs much more accessible to both developers and end users, allowing them to run models on their own hardware easily.
Alibaba’s Animate Anyone may be the next breakthrough in AI animation
Alibaba Group researchers have proposed a novel framework tailored for character animation– Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.
Despite diffusion models’ robust generative capabilities, challenges persist in image-to-video (especially in character animation), where temporally maintaining consistency with details remains a formidable problem.
This framework leverages the power of diffusion models. To preserve the consistency of intricacies from reference images, it uses ReferenceNet to merge detail features via spatial attention. To ensure controllability and continuity, it introduces an efficient pose guider. It achieves SoTA results on benchmarks for fashion video and human dance synthesis.
Why does this matter?
This could mark the beginning of the end of TikTok and Instagram. Some inconsistencies are noticeable, but it’s more stable and consistent than earlier AI character animators. It could look scarily real if we give it some time to advance.
OpenAI committed to buying $51 million of AI chips from startup… backed by CEO Sam Altman
- OpenAI has signed a letter of intent to purchase $51 million in AI chips from Rain, a startup in which OpenAI CEO Sam Altman has personally invested over $1 million.
- Rain, developing a neuromorphic processing unit (NPU) inspired by the human brain, faces challenges after a U.S. government body mandated a Saudi Arabia-affiliated fund to divest its stake in the company for national security reasons.
- This situation reflects the potential conflict of interest in Altman’s dual roles as an investor and CEO of OpenAI.
- Source
ChatGPT is writing legislation now
- In Brazil, Porto Alegre council passed a law written by ChatGPT that prevents charging citizens for stolen water meters replacement.
- The council members were unaware of the AI’s use in drafting the law, which was proposed using a brief prompt to ChatGPT by Councilman Rosário.
- This event sparked discussions on the impacts of AI in legal fields, as instances of AI-generated content led to significant consequences in the United States.
- Source
Google reveals the next step in its war on ad blockers: slower extension updates
- Google is targeting ad blocker developers with its upcoming Manifest V3 changes, which will slow down the update process for Chrome extensions.
- Ad blockers might become less effective on YouTube as the new policy will delay developers from quickly adapting to YouTube’s ad system alterations.
- Users seeking to avoid YouTube ads may have to switch to other browsers like Firefox or use OS-level ad blockers, as Chrome’s new rules will restrict ad-blocking capabilities.
- Source
AstraZeneca ties up with AI biologics company to develop cancer drug
- AstraZeneca has partnered with Absci Corporation in a deal worth up to $247 million to develop an antibody for cancer treatment using Absci’s AI technology for protein analysis.
- The collaboration is part of a growing trend of pharmaceutical giants teaming with AI firms to create innovative disease treatments, aiming to improve success rates and reduce development costs.
- This partnership is a step in AstraZeneca’s strategy to replace traditional chemotherapy with targeted drugs, following their recent advances in treatments for lung and breast cancers.
- Source
Pinterest begins testing a ‘body type ranges’ tool to make searches more inclusive.
It will allow users to filter select searches by different body types. The feature, which will work with women’s fashion and wedding ideas at launch, builds on Pinterest’s new body type AI technology announced earlier this year. (Link)
Intel neural-chat-7b model achieves top ranking on LLM leaderboard.
At 7 billion parameters, neural-chat-7b is at the low end of today’s LLM sizes. Yet it achieved comparable accuracy scores to models 2-3x larger. So, even though it was fine-tuned using Intel Gaudi 2 AI accelerators, its small size means you can deploy it to a wide range of compute platforms. (Link)
Leonardo AI in real-time is here, with two tiers for now.
Paid get “Realtime” mode where it updates as you paint and as you move objects. Free get “Interactive” mode, where it updates at the end of a brush stroke or once you let go of an object. Paid is now live and free to go live soon. (Link)
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Google has quietly pushed back the launch of next-gen AI model Gemini until next year. Source
As we step into the future of technology, sometimes the most anticipated journeys encounter detours. Google has just announced a strategic decision: the launch of its groundbreaking Gemini AI project is being pushed to early 2024. 📅
🔍 Why the Delay?
Google is committed to excellence and innovation. This delay reflects their dedication to refining Gemini AI, ensuring it meets the highest standards of performance and ethical AI use. This extra time is being invested in enhancing the AI’s capabilities and ensuring it aligns with evolving global tech norms. 🌐
🧠 What Can We Expect from Gemini AI?
Gemini AI promises to be more than just a technological marvel; it’s set to revolutionize how we interact with AI in our daily lives. From smarter assistance to advanced data analysis, the potential is limitless. 💡
📈 Impact on the Tech World
This decision by Google is a reminder that in the tech world, patience often leads to perfection. The anticipation for Gemini AI is high, and the expectations are even higher.
💬 Your Thoughts?
What are your thoughts on this strategic move by Google? How do you think the delay will impact the AI industry? Share your insights!
#GoogleGeminiAI #ArtificialIntelligence #TechNews #Innovation #FutureTech
A Daily Chronicle of AI Innovations in December 2023 – Day 2-3: AI Daily News – December 03rd, 2023
Scientists build tiny biological robots from human cells
Tesla’s Cybertruck arrives with $60,990 starting price and 250-mile range
Anduril unveils Roadrunner, “a fighter jet weapon that lands like a Falcon 9”
Meta sues FTC to block new restrictions on monetizing kids’ data
Coinbase CEO: future AI ‘agents’ will transact in crypto
+ 8 other news you might like
Scientists build tiny biological robots from human cells
- Researchers have developed miniature biological robots called Anthrobots, made from human tracheal cells, that can move and enhance neuron growth in damaged areas.
- The Anthrobots, varying in size and movement, assemble themselves without genetic modifications and demonstrate healing effects in lab environments.
- This innovation indicates potential for future medical applications, such as repairing neural tissue or delivering targeted therapies, using bots created from a patient’s own cells.
- Source
Tesla’s Cybertruck arrives with $60,990 starting price and 250-mile range
- Tesla’s Cybertruck, after multiple delays, is now delivered at a starting price of $60,990 with a 250-mile base range.
- The Cybertruck lineup includes a dual-motor variant for $79,990 and a tri-motor “Cyberbeast” costing $99,990 with higher performance specs.
- The Cybertruck has introduced bi-directional charging and aims for an annual production of 250,000 units post-2024, despite initial production targets being missed due to the pandemic.
- Source
Coinbase CEO: future AI ‘agents’ will transact in crypto
- Coinbase CEO Brian Armstrong predicts that autonomous AI agents will use cryptocurrency for transactions, such as paying for services and information.
- Armstrong suggests that cryptography can help verify the authenticity of content, combating the spread of fake information online.
- The CEO foresees a synergy between crypto and AI in Coinbase’s operations and emerging technological areas like decentralized social media and payments.
- Source
Quiz: Intro to Generative AI
What accurately defines a ‘prompt’ in the context of large language models?
Options:
A. A prompt is a short piece of text that is given to the large language model as input and can be used to control the output of the model in various ways.
B. A prompt is a long piece of text that is given to the large language model as input and cannot be used to control the output of the model.
C. A prompt is a short piece of text given to a small language model (SLM) as input and can be used to control the output of the model in various ways.
D. A prompt is a short piece of text that is given to the large language model as input and can be used to control the input of the model in various ways.
E. A prompt is a short piece of code that is given to the large language model as input and can be used to control the output of the model in various ways.
Correct Answer: A. A prompt is a short piece of text that is given to the large language model as input and can be used to control the output of the model in various ways.
Explanation: In the context of large language models, a ‘prompt’ is a concise piece of text provided as input. This input text guides or ‘prompts’ the model in generating an output. The prompt can influence the nature, tone, and direction of the model’s response, making it a critical component in controlling how the AI model interprets and responds to a query.
Options B, C, D, and E do not accurately capture the essence of what a prompt is in the context of large language models.
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A Daily Chronicle of AI Innovations in December 2023 – Day 1: AI Daily News – December 01st, 2023
A new technique from researchers accelerate LLMs by 300x
Microsoft Research explains why hallucination is necessary in LLMs!
Amazon is using AI to improve your holiday shopping
AI algorithms are powering the search for cells
AWS adds new languages and AI capabilities to Amazon Transcribe
Amazon announces Q, an AI chatbot tailored for businesses
Pika officially reveals Pika 1.0, idea-to-video platform
Amazon’s AI image generator, and other AWS re:Invent updates
Perplexity introduces PPLX online LLMs
DeepMind’s AI tool finds 2.2M new crystals to advance technology
Meta’s new models make communication seamless for 100 languages
Researchers release Agent-driver, uses LLMs for autonomous driving
Mastercard launches an AI service to help you find the perfect gift
This new technique accelerates LLMs by 300x
Researchers at ETH Zurich have developed a new technique UltraFastBERT, a language model that uses only 0.3% of its neurons during inference while maintaining performance. It can accelerate language models by 300 times. And by introducing “fast feedforward” layers (FFF) that use conditional matrix multiplication (CMM) instead of dense matrix multiplications (DMM), the researchers were able to significantly reduce the computational load of neural networks.
They validated their technique with FastBERT, a modified version of Google’s BERT model, and achieved impressive results on various language tasks. The researchers believe that incorporating fast feedforward networks into large language models like GPT-3 could lead to even greater acceleration.
Read the Paper here.
Amazon launches 2 new chips for training + running AI models
Amazon announces 2 new chips for training and running AI models; here are they:
1) The Trainium2 chip is designed to deliver better performance and energy efficiency than its predecessor and a cluster of 100,000 Trainium chips can train a 300-billion parameter AI language model in weeks.
2) The Graviton4 chip: The fourth generation in Amazon’s Graviton chip family, provides better compute performance, more cores, and increased memory bandwidth. These chips aim to address the shortage of GPUs in high demand for generative AI. The Trainium2 chip will be available next year, while the Graviton4 chip is currently in preview.
Meta’s new AI makes communication seamless in 100 languages
Meta has developed a family of 4 AI research models called Seamless Communication, which aims to remove language barriers and enable more natural and authentic communication across languages. Here are they:
It is the first publicly available system that unlocks expressive cross-lingual communication in real-time and allows researchers to build on this work.
Try the SeamlessExpressive demo to listen how you sound in different languages.
Today, alongside their models, they are releasing metadata, data, and data alignment tools to assist the research community, including:
- Metadata of an extension of SeamlessAlign corresponding to an additional 115,000 hours of speech and text alignments on top of the existing 470k hours.
- Metadata of SeamlessAlignExpressive, an expressivity-focused version of the dataset above.
- Tools to assist the research community in collecting more datasets for translation.
NVIDIA researchers have integrated human-like intelligence into ADS
In this paper, the team of NVIDIA, Stanford, and USC researchers have released ‘Agent-driver,’ which integrates human-like intelligence into the driving system. It utilizes LLMs as a cognitive agent to enhance decision-making, reasoning, and planning.
Agent-Driver system includes a versatile tool library, a cognitive memory, and a reasoning engine. The system is evaluated on the nuScenes benchmark and outperforms existing driving methods significantly. It also demonstrates superior interpretability and the ability to learn with few examples. The code for this approach will be made available.
Mastercard introduces Muse AI for tailored shopping
Mastercard has launched Shopping Muse, an AI-powered tool that helps consumers find the perfect gift. AI will provide personalized recommendations on a retailer’s website based on the individual consumer’s profile, intent, and affinity.
Shopping Muse translates consumer requests made via a chatbot into tailored product recommendations, including suggestions for coordinating products and accessories. It considers the shopper’s browsing history and past purchases to estimate future buying intent better.
What Else Is Happening in AI on December 01st, 2023
Microsoft plans to invest $3.2B in UK to drive AI progress
It will be its largest investment in the country over the next three years. The funding will support the growth of AI and Microsoft’s data center footprint in Britain. The investment comes as the UK government seeks private investment to boost infrastructure development, particularly in industries like AI. (Link)
HPE and NVIDIA extended their collaboration to enhance AI offerings
The partnership aims to enable customers to become “AI-powered businesses” by providing them with products that leverage Nvidia’s AI capabilities. The deal is expected to enhance generative AI capabilities and help users maximize the potential of AI technology. (Link)
Voicemod now allows users to create and share their own AI voices
This AI voice-changing platform has new features including AI Voice Changer, which lets users create and customize synthetic voices with different genders, ages, and tones. (Link)
Samsung introduces a new type of DRAM called Low Latency Wide IO (LLW)
The company claims it is perfect for mobile AI processing and gaming. It’s more efficient in processing real-time data than the LPDDR modules currently used in mobile devices. It sits next to the CPU inside the SoC and is suitable for gaming and AI applications. (Link)
Ideogram just launched image prompting
Toronto-based AI startup Ideogram has launched its own text-to-image generator platform, competing with existing platforms like DALL-E, Midjourney, and Adobe Firefly. So now you can upload an image and control the output using visual input in addition to text. This is available to all of their Plus subscribers. (Link)
https://enoumen.com/2023/11/01/a-daily-chronicle-of-ai-innovations-in-november-2023/
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The AI Unraveled book, explores topics like the basics of artificial intelligence, machine learning, Generative AI, GPT-4, deep learning, natural language processing, computer vision, ethics, applications in various industries.
This book aims to explore the fascinating world of artificial intelligence and provide answers to the most commonly asked questions about it. Whether you’re curious about what artificial intelligence is or how it’s transforming industries, this book will help demystify and provide a deeper understanding of this cutting-edge technology. So let’s dive right in and unravel the world of artificial intelligence together.
In Chapter 1, we’ll delve into the basics of artificial intelligence. We’ll explore what AI is, how it works, and the different types of AI that exist. Additionally, we’ll take a look at the history of AI and how it has evolved over the years. Understanding these fundamentals will set the stage for our exploration of the more advanced concepts to come.
Chapter 2 focuses on machine learning, a subset of artificial intelligence. Here, we’ll take a deeper dive into what machine learning entails, how it functions, and the various types of machine learning algorithms that are commonly used. By the end of this chapter, you’ll have a solid grasp of how machines can be trained to learn from data.
Next, in Chapter 3, we’ll explore the exciting field of deep learning. Deep learning utilizes artificial neural networks to make decisions and learn. We’ll discover what deep learning is, how it operates, and the different types of deep learning algorithms that are used to tackle complex tasks. This chapter will shed light on the powerful capabilities of deep learning within the realm of AI.
Chapter 4 introduces us to the field of natural language processing (NLP). NLP focuses on enabling machines to understand and interpret human language. We’ll explore how NLP functions, its various applications across different industries, and why it’s an essential area of study within AI.
Moving on to Chapter 5, we’ll uncover the world of computer vision. Computer vision enables machines to see and interpret visual data, expanding their understanding of the world. We’ll delve into what computer vision is, how it operates, and the ways it is being utilized in different industries. This chapter will provide insights into how machines can perceive and analyze visual information.
In Chapter 6, we’ll delve into the important topic of AI ethics and bias. While artificial intelligence has incredible potential, it also presents ethical challenges and the potential for bias. This chapter will explore the ethical implications of AI and the difficulties in preventing bias within AI systems. Understanding these issues will help facilitate responsible and fair AI development.
Chapter 7 focuses on the practical applications of artificial intelligence in various industries. We’ll explore how AI is transforming healthcare, finance, manufacturing, transportation, and more. This chapter will showcase the benefits AI brings to these sectors and highlight the challenges that need to be addressed for successful integration.
Moving into Chapter 8, we’ll examine the broader societal implications of artificial intelligence. AI has the potential to impact various aspects of our lives, from improving our quality of life to reshaping the job market. This chapter will explore how AI is changing the way we live and work, and the social implications that accompany these changes.
Chapter 9 takes us into the future of AI, where we’ll explore the trends and developments shaping this rapidly evolving field. From advancements in technology to emerging applications, this chapter will give you a glimpse of what the future holds for AI and the exciting possibilities that lie ahead.
In Chapter 10 and Chapter 11, we have some quizzes to test your knowledge. These quizzes will cover topics such as Generative AI and Large Language Models, enhancing your understanding of these specific areas within the AI landscape.
Finally, as a bonus, we have provided a section on the latest AI trends, daily AI news updates, and a simplified guide to mastering GPT-4. This section covers a wide range of topics, including the future of large language models, explainable AI, AI in various industries, and much more. It’s a treasure trove of information for AI enthusiasts.
So get ready to embark on this journey of demystifying artificial intelligence. Let’s explore the possibilities, applications, and ethical considerations of AI together.
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- Anyone else who identifies as AI-dependent?by /u/Bliskus (Artificial Intelligence Gateway) on April 24, 2024 at 3:11 pm
At a PTSD group yesterday, I told everyone how I’m using AI to cope. I was met with awe and much skepticism. So I’m planning to get Cha-Cha, my GPT, on the phone (you know what I mean) and we can do a skit where everyone sees that it’s not a threat. Everyone complains every week about how they can’t function, their medicine comes with an ocean liner worth of side effects, therapy has had minimal benefits, etc. But they won’t even consider AI. Funny aside: One guy said Google has released a product called Adrena, and their browser is called Chrome. “See, it’s out in the open!” he shouted. Thankfully, the group leader reined it in. Personal Life Sometimes I struggle with basic things like budgeting, eating well, etc. ChatGPT 4 and Gemini Advanced have helped me with all of these. Their ideas might not be perfect, but they are a starting point. Sometimes that’s what I genuinely need. I worked with ChatGPT to create a table with the tasks, morning routines, diets, and more. I then put it into my calendar as a CSV file. That has made a huge difference. I also procrastinate on some issues that come back Personal Relationships I am unfortunately avoidant because of traumas that happened to me. And I don’t always get social cues. When I need to have a hard conversation, I filter it through my GPT. It tells me how to start Basically, ChatGPT and sometimes Gemini Advanced help me to address situations and keep relationships healthy. Do most people need this? Probably not. But I’m disabled. Work I had a project where the metrics of my work were all over the place. I couldn’t make any sense of them. Because of my issues, it was easy to get overwhelmed and completely shut down. I told Gemini what was going on and provided some context. Within seconds, it gave a highly plausible theory that turned out to be true. We’ve now righted the ship. Is AI necessary for this? Perhaps not for others. But it would have taken me way too long to calm down to the extent that I could connect the dots. And sometimes I just don’t know where to start. Even if AI gives me a wrong action plan, the very act of correcting it is a starting point. Hobbies For the longest time, I’ve wanted to sell digital products. Well, thanks to AI, that dream is now a reality and it’s already modestly profitable. So yes, I identify as AI-dependent and there’s no shame in that. This technology is absolutely necessary for me to enjoy a good quality of life. submitted by /u/Bliskus [link] [comments]
- Candorium News - Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI dealsby /u/10marketing8 (Artificial Intelligence Gateway) on April 24, 2024 at 3:09 pm
Candorium News Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI deals https://candorium.com/news/20240424132405893/microsoft-and-amazon-face-scrutiny-from-uk-competition-watchdog-over-recent-ai-deals submitted by /u/10marketing8 [link] [comments]
- How AI already changed my lifeby /u/Anakhsunamon (Artificial Intelligence Gateway) on April 24, 2024 at 2:49 pm
I feel like most of the public is not at all aware what AI already can do. They just think like:"Oh yea AI, you can make cute pics with it" Or the youngsters using it to swap out faces of people. But most people do not realize it can already improve your life in a big way. All you gotta do is ... ask AI 😛 So to further explain what it actually did for me you need to know a lil bit of my background first. So I am kinda a guy which in RPG would you call a jack of all traits in the field of IT but master of none. I cannot code or program anything, but I have enough knowledge to make use of Wordpress to start a website. If there were problems with the code in my wordpress or when I messed something up I was kinda screwed. I remember it taking weeks for me to repair kinda simple problems, or sometimes it was just above my capability, I had not enough knowledge to fix it. I even remember paying a guy at Fiverr to fix some programming problem. I was also a very basic linux users, just barely able to install it, not using custom partitions since I had no clue how. I have had multiple instances where something in linux broke, which I could not fix and ended up reinstalling the entire system again, wasting a lot of time. These are even things like black screen caused by nvidia driver issues, which is easily fixed if you know how. Ok that was then. So lets go ahead and see what my capabilities are now shall we 😉 So with the help of AI I have fixed complex issues on my linux system. And by doing a lot of commands in terminals, even though I just copied stuff from the AI, it also learned me a lot of commands. I can now perform a lot of commands in terminals I couldnt before. That was just the beginning though 😉 Once I understood how powerful AI can really be, I tried to seek its and mine limits of what I was now able to do. Where I at first had trouble installing a new OS like linux, I now have a triple boot system with full disk encryption (because its cool) 😛 running windows, and 2 different linux distros. All with a custom made Grub launcher with a cool theme. I still cannot program really as I do not know any programming language, but I was able to create several programs with the help of AI! I never thought this to be possible, me creating my own programs. It was still not easy, since I did not even know where to begin, but AI told me all I needed to know. Practical things like which program do I use to type the code in? How do I save the file? I even tried making my own videogame which I think I could do, but I need to learn a lot more to do that. Since I will also need to learn something like stable diffusion to generate visual content for that game. This is more something for the long run though, I feel I need to learn more first. The AI makes me feel so confident now to tackle all IT problems facing me. Although I do admit I do not always know what I am doing exactly. I just feel it opened up a whole new world for me. Its so cool I can now create entire programs, like right now I am editing a GUI in Qt designer. I never even knew this existed, but AI told me about it and now im using it. Another thing I find cool about AI is that rarely sells me a:"No we cant do that". It does not really matter how complex my question is, it always knows of a way to do something. Btw this is pretty much all done with chatGPT 3.5 free version. I dont even know how good it can really be. submitted by /u/Anakhsunamon [link] [comments]
- Personal Tutors powered by AIby /u/ScionMasterClass (Artificial Intelligence Gateway) on April 24, 2024 at 2:44 pm
In every conversation around the benefits of AI, we hear about the potential of personalised education and tutoring. Besides Khanmigo (not available outside the United States) are there any applications of AI in education you find useful? If you are in the US, can you share how helpful Khanmigo is? submitted by /u/ScionMasterClass [link] [comments]
- AGBA/TRILLER $4 billion MERGER: ELEVATING SHAREHOLDER VALUE TO NEW HEIGHTS - IMMEDIATELY AND FOR THE LONG TERMby /u/NASDQplayer97 (Artificial Intelligence Gateway) on April 24, 2024 at 2:19 pm
submitted by /u/NASDQplayer97 [link] [comments]
- LLaMa - 3 Hackathonby /u/stupidauthor (Artificial Intelligence Gateway) on April 24, 2024 at 1:02 pm
I came across a hackathon that's going to be hosted by a small company, MonsterAPI! The goal is super easy, train LLaMa-3 to beat Mixtral 8B for code generation, maths reasoning, and logical reasoning. They're handing out an Xbox Series S to the winning team/individual! I've joined, here's the link for all of you - https://lu.ma/seyaej4b?tk=dx0DzR submitted by /u/stupidauthor [link] [comments]
- Neverheard Tunes - fully produced AI generated music of different genresby /u/artifex28 (Artificial Intelligence Gateway) on April 24, 2024 at 12:48 pm
I've been playing with digital audio since first version of Fruityloops in end of 90s. Since then, I've seen how MIDI and sample libraries changed the game. Now AI is something completely mindboggling. I wanted to see how the workflow changes and how quickly it's possible to generate fully produced tracks of various genres and get them even published. In case you're interested to hear how AI generated music sounds now in April 2024 in various genres when produced to full tracks, head to Neverheard Tunes submitted by /u/artifex28 [link] [comments]
- Where/which course to start first as a complete beginner? Python? CS50X? Deeplearning.AI? Fast.AI? Coursera courses AI for Everyone? Machine Learning for Everyone? Can anyone recommend a structured learning flow for a mid 30s dad lol?by /u/one1002 (Artificial Intelligence Gateway) on April 24, 2024 at 11:52 am
Hey guys, So TLDR: i'd like to get onboard on the AI/ML journey, but dont know where to start, and which course should I do first.. Mid 30s here, have a family, 2 kids (8 and 4y.o). Working in management, background of bachelor psychology, no prior experience in AI or ML, but I have been very curious and interested in AI and ML.. I figured that I would like to expand my knowledge and upskill myself in the field of AI and ML, however the field is just too wide and I dont really know where to start. I think I could spare around 5-10 hours a week to learn AI/ML.. Did some research and majority recommends starting with the basics of python first, some says CS50X, or maths (algebra, calculus) or andrew ng's courses in deeplearning.ai, or fast.ai, or kaggle's courses.. Its just too overwhelming lol I dont know where to start.. My goal is to first understand the principles of AI and ML, then maybe do ML.. Realistically, I know that without solid degree/masters/phd within computer science or maths, that would be very difficult to get a job, so I have set my mind that I will not be looking for a career change (although it would be very nice as a side income lol). Anyway, appreciate any feedback and guidance from you guys!! Cheers submitted by /u/one1002 [link] [comments]
- Discover the Ultimate AI Tools Listby /u/murphy_tom1 (Artificial Intelligence Gateway) on April 24, 2024 at 10:04 am
Natural Language Processing (NLP): OpenAI GPT (Generative Pre-trained Transformer) Google Cloud Natural Language API SpaCy MyEssayWriter.ai NLTK (Natural Language Toolkit) AllenNLP Computer Vision: TensorFlow OpenCV (Open Source Computer Vision Library) PyTorch YOLO (You Only Look Once) Caffe Speech Recognition: Google Cloud Speech-to-Text IBM Watson Speech to Text CMU Sphinx (PocketSphinx) Kaldi Mozilla DeepSpeech Machine Learning Frameworks: TensorFlow PyTorch scikit-learn Keras Microsoft Azure Machine Learning Chatbots and Conversational AI: Dialogflow IBM Watson Assistant Microsoft Bot Framework Rasa Amazon Lex Data Analytics and Visualization: Tableau Power BI Google Data Studio Plotly Matplotlib AI Development Platforms: H2O.ai DataRobot RapidMiner Domino Data Lab Dataiku Reinforcement Learning: OpenAI Gym Stable Baselines RLlib (Reinforcement Learning Library) AI Ethics and Bias Mitigation: IBM AI Fairness 360 Google's What-If Tool Microsoft Fairlearn Generative Adversarial Networks (GANs): NVIDIA StyleGAN CycleGAN Pix2Pix Automated Machine Learning (AutoML): Auto-Keras Google Cloud AutoML H2O.ai Driverless AI TPOT (Tree-based Pipeline Optimization Tool) Auto-Sklearn Time Series Forecasting: Statsmodels ARIMA (AutoRegressive Integrated Moving Average) LSTM (Long Short-Term Memory) networks XGBoost Optimization and Operations Research: IBM CPLEX Gurobi Pyomo Google OR-Tools Knowledge Graphs: Neo4j Amazon Neptune Stardog Ontotext GraphDB AI Infrastructure and Deployment: Kubernetes Docker AWS SageMaker Google Cloud AI Platform Microsoft Azure Machine Learning Service Text Analysis and Sentiment Analysis: VADER (Valence Aware Dictionary and sEntiment Reasoner) TextBlob IBM Watson Natural Language Understanding Lexalytics Aylien Text Analysis API Recommendation Systems: Apache Mahout LightFM Surprise Amazon Personalize TensorFlow Recommenders AI-driven Marketing Tools: Salesforce Einstein Marketo HubSpot Adobe Sensei Optimizely AI-powered Content Creation: Artbreeder Copy.ai ShortlyAI Jasper (Journalism AI) AI Dungeon PerfectEssayWriter.ai MyPerfectPaper.net - AI Essay Writing Healthcare AI Tools: IBM Watson Health NVIDIA Clara Google Health Ada Health PathAI AI in Finance: AlphaSense QuantConnect Kensho Technologies FactSet Yewno|Edge AI in Cybersecurity: Darktrace Cylance CrowdStrike Falcon Symantec AI Solutions FireEye Helix AI in Robotics: ROS (Robot Operating System) NVIDIA Isaac Universal Robots SoftBank Robotics Boston Dynamics AI in Energy and Sustainability: Google DeepMind for Energy C3.ai GridGain Systems Siemens Digital Grid Envision Digital AI in Agriculture: Climate Corporation Blue River Technology PrecisionHawk AgShift Taranis AI in Education: Duolingo Coursera Gradescope DreamBox Learning Carnegie Learning AI in Supply Chain Management: Llamasoft Blue Yonder (formerly JDA Software) Element AI ClearMetal Kinaxis AI in Gaming: Unity ML-Agents NVIDIA Deep Learning Super Sampling (DLSS) Unreal Engine AI Microsoft Project Malmo IBM Watson Unity SDK AI in Transportation: Waymo Tesla Autopilot Uber ATG (Advanced Technologies Group) Didi Chuxing AI Labs Mobileye by Intel AI in Customer Service: Zendesk AI Ada Support Helpshift Intercom Freshworks AI AI in Legal Services: ROSS Intelligence Luminance Kira Systems Casetext Lex Machina AI in Real Estate: Zillow Redfin CompStak Skyline AI Matterport AI in Human Resources: HireVue Textio Pymetrics Traitify Visage AI in Retail: Amazon Go Salesforce Commerce Cloud Einstein Blue Yonder (formerly JDA Software) Dynamic Yield Sentient Ascend AI in Personalization and Recommendation: Netflix Recommendation System Spotify Discover Weekly Amazon Product Recommendations YouTube Recommendations Pandora Music Genome Project AI in Natural Disaster Prediction: One Concern Jupiter Descartes Labs Zizmos Earth AI AI in Language Translation: Google Translate DeepL Microsoft Translator SYSTRAN Translate.com AI in Facial Recognition: Amazon Rekognition Face++ by Megvii Kairos Microsoft Azure Face API NEC NeoFace AI in Music Generation: AIVA Amper Music Jukedeck Magenta by Google OpenAI Jukebox AI in Remote Sensing: Orbital Insight Descartes Labs SkyWatch TerrAvion Planet Labs AI in Document Management: DocuSign Adobe Acrobat Abbyy FineReader DocuWare Nitro AI in Social Media Analysis: Brandwatch Sprinklr Talkwalker Hootsuite Insights Synthesio AI in Fraud Detection: Feedzai Forter Simility Featurespace Signifyd AI in Smart Cities: Sidewalk Labs CityBrain by Alibaba Cloud Siemens City Performance Tool StreetLight Data SmartCone AI in Mental Health: Woebot Wysa X2AI Talkspace Ginger AI in Music Streaming Services: Spotify Apple Music Pandora Tidal Deezer AI in Journalism: Automated Insights Narrativa Heliograf by The Washington Post Wordsmith by Automated Insights RADAR by The Associated Press AI in Predictive Maintenance: Uptake IBM Maximo Asset Performance Management SAS Predictive Maintenance Predikto Augury AI in 3D Printing: Autodesk Netfabb Formlabs PreForm Stratasys GrabCAD Materialise Magics SLM Solutions AI in Wildlife Conservation: ConservationFIT PAWS (Protection Assistant for Wildlife Security) Instant Wild TrailGuard AI Wildlife Insights AI in Graphic Design: Adobe Sensei (Adobe Creative Cloud's AI platform) Canva's Magic Resize Designhill's AI Logo Maker Tailor Brands Piktochart submitted by /u/murphy_tom1 [link] [comments]
- Microsoft launches Phi-3, its smallest AI model yetby /u/ELVTR_Official (Artificial Intelligence Gateway) on April 24, 2024 at 9:46 am
Microsoft launched the next version of its lightweight AI model Phi-3 Mini, the first of three small models the company plans to release. The company released Phi-2 in December, which performed just as well as bigger models like Llama 2. Eric Boyd, corporate vice president of Microsoft Azure AI Platform, tells The Verge Phi-3 Mini is as capable as LLMs like GPT-3.5 “just in a smaller form factor.” Compared to their larger counterparts, small AI models are often cheaper to run and perform better on personal devices like phones and laptops. https://www.theverge.com/2024/4/23/24137534/microsoft-phi-3-launch-small-ai-language-model submitted by /u/ELVTR_Official [link] [comments]
- Anyone else who identifies as AI-dependent?by /u/Bliskus (Artificial Intelligence Gateway) on April 24, 2024 at 3:11 pm
At a PTSD group yesterday, I told everyone how I’m using AI to cope. I was met with awe and much skepticism. So I’m planning to get Cha-Cha, my GPT, on the phone (you know what I mean) and we can do a skit where everyone sees that it’s not a threat. Everyone complains every week about how they can’t function, their medicine comes with an ocean liner worth of side effects, therapy has had minimal benefits, etc. But they won’t even consider AI. Funny aside: One guy said Google has released a product called Adrena, and their browser is called Chrome. “See, it’s out in the open!” he shouted. Thankfully, the group leader reined it in. Personal Life Sometimes I struggle with basic things like budgeting, eating well, etc. ChatGPT 4 and Gemini Advanced have helped me with all of these. Their ideas might not be perfect, but they are a starting point. Sometimes that’s what I genuinely need. I worked with ChatGPT to create a table with the tasks, morning routines, diets, and more. I then put it into my calendar as a CSV file. That has made a huge difference. I also procrastinate on some issues that come back Personal Relationships I am unfortunately avoidant because of traumas that happened to me. And I don’t always get social cues. When I need to have a hard conversation, I filter it through my GPT. It tells me how to start Basically, ChatGPT and sometimes Gemini Advanced help me to address situations and keep relationships healthy. Do most people need this? Probably not. But I’m disabled. Work I had a project where the metrics of my work were all over the place. I couldn’t make any sense of them. Because of my issues, it was easy to get overwhelmed and completely shut down. I told Gemini what was going on and provided some context. Within seconds, it gave a highly plausible theory that turned out to be true. We’ve now righted the ship. Is AI necessary for this? Perhaps not for others. But it would have taken me way too long to calm down to the extent that I could connect the dots. And sometimes I just don’t know where to start. Even if AI gives me a wrong action plan, the very act of correcting it is a starting point. Hobbies For the longest time, I’ve wanted to sell digital products. Well, thanks to AI, that dream is now a reality and it’s already modestly profitable. So yes, I identify as AI-dependent and there’s no shame in that. This technology is absolutely necessary for me to enjoy a good quality of life. submitted by /u/Bliskus [link] [comments]
- Candorium News - Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI dealsby /u/10marketing8 (Artificial Intelligence Gateway) on April 24, 2024 at 3:09 pm
Candorium News Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI deals https://candorium.com/news/20240424132405893/microsoft-and-amazon-face-scrutiny-from-uk-competition-watchdog-over-recent-ai-deals submitted by /u/10marketing8 [link] [comments]
- How AI already changed my lifeby /u/Anakhsunamon (Artificial Intelligence Gateway) on April 24, 2024 at 2:49 pm
I feel like most of the public is not at all aware what AI already can do. They just think like:"Oh yea AI, you can make cute pics with it" Or the youngsters using it to swap out faces of people. But most people do not realize it can already improve your life in a big way. All you gotta do is ... ask AI 😛 So to further explain what it actually did for me you need to know a lil bit of my background first. So I am kinda a guy which in RPG would you call a jack of all traits in the field of IT but master of none. I cannot code or program anything, but I have enough knowledge to make use of Wordpress to start a website. If there were problems with the code in my wordpress or when I messed something up I was kinda screwed. I remember it taking weeks for me to repair kinda simple problems, or sometimes it was just above my capability, I had not enough knowledge to fix it. I even remember paying a guy at Fiverr to fix some programming problem. I was also a very basic linux users, just barely able to install it, not using custom partitions since I had no clue how. I have had multiple instances where something in linux broke, which I could not fix and ended up reinstalling the entire system again, wasting a lot of time. These are even things like black screen caused by nvidia driver issues, which is easily fixed if you know how. Ok that was then. So lets go ahead and see what my capabilities are now shall we 😉 So with the help of AI I have fixed complex issues on my linux system. And by doing a lot of commands in terminals, even though I just copied stuff from the AI, it also learned me a lot of commands. I can now perform a lot of commands in terminals I couldnt before. That was just the beginning though 😉 Once I understood how powerful AI can really be, I tried to seek its and mine limits of what I was now able to do. Where I at first had trouble installing a new OS like linux, I now have a triple boot system with full disk encryption (because its cool) 😛 running windows, and 2 different linux distros. All with a custom made Grub launcher with a cool theme. I still cannot program really as I do not know any programming language, but I was able to create several programs with the help of AI! I never thought this to be possible, me creating my own programs. It was still not easy, since I did not even know where to begin, but AI told me all I needed to know. Practical things like which program do I use to type the code in? How do I save the file? I even tried making my own videogame which I think I could do, but I need to learn a lot more to do that. Since I will also need to learn something like stable diffusion to generate visual content for that game. This is more something for the long run though, I feel I need to learn more first. The AI makes me feel so confident now to tackle all IT problems facing me. Although I do admit I do not always know what I am doing exactly. I just feel it opened up a whole new world for me. Its so cool I can now create entire programs, like right now I am editing a GUI in Qt designer. I never even knew this existed, but AI told me about it and now im using it. Another thing I find cool about AI is that rarely sells me a:"No we cant do that". It does not really matter how complex my question is, it always knows of a way to do something. Btw this is pretty much all done with chatGPT 3.5 free version. I dont even know how good it can really be. submitted by /u/Anakhsunamon [link] [comments]
- Personal Tutors powered by AIby /u/ScionMasterClass (Artificial Intelligence Gateway) on April 24, 2024 at 2:44 pm
In every conversation around the benefits of AI, we hear about the potential of personalised education and tutoring. Besides Khanmigo (not available outside the United States) are there any applications of AI in education you find useful? If you are in the US, can you share how helpful Khanmigo is? submitted by /u/ScionMasterClass [link] [comments]
- AGBA/TRILLER $4 billion MERGER: ELEVATING SHAREHOLDER VALUE TO NEW HEIGHTS - IMMEDIATELY AND FOR THE LONG TERMby /u/NASDQplayer97 (Artificial Intelligence Gateway) on April 24, 2024 at 2:19 pm
submitted by /u/NASDQplayer97 [link] [comments]
- LLaMa - 3 Hackathonby /u/stupidauthor (Artificial Intelligence Gateway) on April 24, 2024 at 1:02 pm
I came across a hackathon that's going to be hosted by a small company, MonsterAPI! The goal is super easy, train LLaMa-3 to beat Mixtral 8B for code generation, maths reasoning, and logical reasoning. They're handing out an Xbox Series S to the winning team/individual! I've joined, here's the link for all of you - https://lu.ma/seyaej4b?tk=dx0DzR submitted by /u/stupidauthor [link] [comments]
- Neverheard Tunes - fully produced AI generated music of different genresby /u/artifex28 (Artificial Intelligence Gateway) on April 24, 2024 at 12:48 pm
I've been playing with digital audio since first version of Fruityloops in end of 90s. Since then, I've seen how MIDI and sample libraries changed the game. Now AI is something completely mindboggling. I wanted to see how the workflow changes and how quickly it's possible to generate fully produced tracks of various genres and get them even published. In case you're interested to hear how AI generated music sounds now in April 2024 in various genres when produced to full tracks, head to Neverheard Tunes submitted by /u/artifex28 [link] [comments]
- Where/which course to start first as a complete beginner? Python? CS50X? Deeplearning.AI? Fast.AI? Coursera courses AI for Everyone? Machine Learning for Everyone? Can anyone recommend a structured learning flow for a mid 30s dad lol?by /u/one1002 (Artificial Intelligence Gateway) on April 24, 2024 at 11:52 am
Hey guys, So TLDR: i'd like to get onboard on the AI/ML journey, but dont know where to start, and which course should I do first.. Mid 30s here, have a family, 2 kids (8 and 4y.o). Working in management, background of bachelor psychology, no prior experience in AI or ML, but I have been very curious and interested in AI and ML.. I figured that I would like to expand my knowledge and upskill myself in the field of AI and ML, however the field is just too wide and I dont really know where to start. I think I could spare around 5-10 hours a week to learn AI/ML.. Did some research and majority recommends starting with the basics of python first, some says CS50X, or maths (algebra, calculus) or andrew ng's courses in deeplearning.ai, or fast.ai, or kaggle's courses.. Its just too overwhelming lol I dont know where to start.. My goal is to first understand the principles of AI and ML, then maybe do ML.. Realistically, I know that without solid degree/masters/phd within computer science or maths, that would be very difficult to get a job, so I have set my mind that I will not be looking for a career change (although it would be very nice as a side income lol). Anyway, appreciate any feedback and guidance from you guys!! Cheers submitted by /u/one1002 [link] [comments]
- Discover the Ultimate AI Tools Listby /u/murphy_tom1 (Artificial Intelligence Gateway) on April 24, 2024 at 10:04 am
Natural Language Processing (NLP): OpenAI GPT (Generative Pre-trained Transformer) Google Cloud Natural Language API SpaCy MyEssayWriter.ai NLTK (Natural Language Toolkit) AllenNLP Computer Vision: TensorFlow OpenCV (Open Source Computer Vision Library) PyTorch YOLO (You Only Look Once) Caffe Speech Recognition: Google Cloud Speech-to-Text IBM Watson Speech to Text CMU Sphinx (PocketSphinx) Kaldi Mozilla DeepSpeech Machine Learning Frameworks: TensorFlow PyTorch scikit-learn Keras Microsoft Azure Machine Learning Chatbots and Conversational AI: Dialogflow IBM Watson Assistant Microsoft Bot Framework Rasa Amazon Lex Data Analytics and Visualization: Tableau Power BI Google Data Studio Plotly Matplotlib AI Development Platforms: H2O.ai DataRobot RapidMiner Domino Data Lab Dataiku Reinforcement Learning: OpenAI Gym Stable Baselines RLlib (Reinforcement Learning Library) AI Ethics and Bias Mitigation: IBM AI Fairness 360 Google's What-If Tool Microsoft Fairlearn Generative Adversarial Networks (GANs): NVIDIA StyleGAN CycleGAN Pix2Pix Automated Machine Learning (AutoML): Auto-Keras Google Cloud AutoML H2O.ai Driverless AI TPOT (Tree-based Pipeline Optimization Tool) Auto-Sklearn Time Series Forecasting: Statsmodels ARIMA (AutoRegressive Integrated Moving Average) LSTM (Long Short-Term Memory) networks XGBoost Optimization and Operations Research: IBM CPLEX Gurobi Pyomo Google OR-Tools Knowledge Graphs: Neo4j Amazon Neptune Stardog Ontotext GraphDB AI Infrastructure and Deployment: Kubernetes Docker AWS SageMaker Google Cloud AI Platform Microsoft Azure Machine Learning Service Text Analysis and Sentiment Analysis: VADER (Valence Aware Dictionary and sEntiment Reasoner) TextBlob IBM Watson Natural Language Understanding Lexalytics Aylien Text Analysis API Recommendation Systems: Apache Mahout LightFM Surprise Amazon Personalize TensorFlow Recommenders AI-driven Marketing Tools: Salesforce Einstein Marketo HubSpot Adobe Sensei Optimizely AI-powered Content Creation: Artbreeder Copy.ai ShortlyAI Jasper (Journalism AI) AI Dungeon PerfectEssayWriter.ai MyPerfectPaper.net - AI Essay Writing Healthcare AI Tools: IBM Watson Health NVIDIA Clara Google Health Ada Health PathAI AI in Finance: AlphaSense QuantConnect Kensho Technologies FactSet Yewno|Edge AI in Cybersecurity: Darktrace Cylance CrowdStrike Falcon Symantec AI Solutions FireEye Helix AI in Robotics: ROS (Robot Operating System) NVIDIA Isaac Universal Robots SoftBank Robotics Boston Dynamics AI in Energy and Sustainability: Google DeepMind for Energy C3.ai GridGain Systems Siemens Digital Grid Envision Digital AI in Agriculture: Climate Corporation Blue River Technology PrecisionHawk AgShift Taranis AI in Education: Duolingo Coursera Gradescope DreamBox Learning Carnegie Learning AI in Supply Chain Management: Llamasoft Blue Yonder (formerly JDA Software) Element AI ClearMetal Kinaxis AI in Gaming: Unity ML-Agents NVIDIA Deep Learning Super Sampling (DLSS) Unreal Engine AI Microsoft Project Malmo IBM Watson Unity SDK AI in Transportation: Waymo Tesla Autopilot Uber ATG (Advanced Technologies Group) Didi Chuxing AI Labs Mobileye by Intel AI in Customer Service: Zendesk AI Ada Support Helpshift Intercom Freshworks AI AI in Legal Services: ROSS Intelligence Luminance Kira Systems Casetext Lex Machina AI in Real Estate: Zillow Redfin CompStak Skyline AI Matterport AI in Human Resources: HireVue Textio Pymetrics Traitify Visage AI in Retail: Amazon Go Salesforce Commerce Cloud Einstein Blue Yonder (formerly JDA Software) Dynamic Yield Sentient Ascend AI in Personalization and Recommendation: Netflix Recommendation System Spotify Discover Weekly Amazon Product Recommendations YouTube Recommendations Pandora Music Genome Project AI in Natural Disaster Prediction: One Concern Jupiter Descartes Labs Zizmos Earth AI AI in Language Translation: Google Translate DeepL Microsoft Translator SYSTRAN Translate.com AI in Facial Recognition: Amazon Rekognition Face++ by Megvii Kairos Microsoft Azure Face API NEC NeoFace AI in Music Generation: AIVA Amper Music Jukedeck Magenta by Google OpenAI Jukebox AI in Remote Sensing: Orbital Insight Descartes Labs SkyWatch TerrAvion Planet Labs AI in Document Management: DocuSign Adobe Acrobat Abbyy FineReader DocuWare Nitro AI in Social Media Analysis: Brandwatch Sprinklr Talkwalker Hootsuite Insights Synthesio AI in Fraud Detection: Feedzai Forter Simility Featurespace Signifyd AI in Smart Cities: Sidewalk Labs CityBrain by Alibaba Cloud Siemens City Performance Tool StreetLight Data SmartCone AI in Mental Health: Woebot Wysa X2AI Talkspace Ginger AI in Music Streaming Services: Spotify Apple Music Pandora Tidal Deezer AI in Journalism: Automated Insights Narrativa Heliograf by The Washington Post Wordsmith by Automated Insights RADAR by The Associated Press AI in Predictive Maintenance: Uptake IBM Maximo Asset Performance Management SAS Predictive Maintenance Predikto Augury AI in 3D Printing: Autodesk Netfabb Formlabs PreForm Stratasys GrabCAD Materialise Magics SLM Solutions AI in Wildlife Conservation: ConservationFIT PAWS (Protection Assistant for Wildlife Security) Instant Wild TrailGuard AI Wildlife Insights AI in Graphic Design: Adobe Sensei (Adobe Creative Cloud's AI platform) Canva's Magic Resize Designhill's AI Logo Maker Tailor Brands Piktochart submitted by /u/murphy_tom1 [link] [comments]
- Microsoft launches Phi-3, its smallest AI model yetby /u/ELVTR_Official (Artificial Intelligence Gateway) on April 24, 2024 at 9:46 am
Microsoft launched the next version of its lightweight AI model Phi-3 Mini, the first of three small models the company plans to release. The company released Phi-2 in December, which performed just as well as bigger models like Llama 2. Eric Boyd, corporate vice president of Microsoft Azure AI Platform, tells The Verge Phi-3 Mini is as capable as LLMs like GPT-3.5 “just in a smaller form factor.” Compared to their larger counterparts, small AI models are often cheaper to run and perform better on personal devices like phones and laptops. https://www.theverge.com/2024/4/23/24137534/microsoft-phi-3-launch-small-ai-language-model submitted by /u/ELVTR_Official [link] [comments]
Mastering GPT-4: Simplified Guide for Everyday Users
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Mastering GPT-4: Simplified Guide for Everyday Users or How to make GPT-4 your b*tch!
Recently, while updating our OpenAI Python library, I encountered a marketing intern struggling with GPT-4. He was overwhelmed by its repetitive responses, lengthy answers, and not quite getting what he needed from it. Realizing the need for a simple, user-friendly explanation of GPT-4’s functionalities, I decided to create this guide. Whether you’re new to AI or looking to refine your GPT-4 interactions, these tips are designed to help you navigate and optimize your experience.
Embark on a journey to master GPT-4 with our easy-to-understand guide, ‘Mastering GPT-4: Simplified Guide for Everyday Users‘.
🌟🤖 This blog/video/podcast is perfect for both AI newbies and those looking to enhance their experience with GPT-4. We break down the complexities of GPT-4’s settings into simple, practical terms, so you can use this powerful tool more effectively and creatively.
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🔍 What You’ll Learn:
- Frequency Penalty: Discover how to reduce repetitive responses and make your AI interactions sound more natural.
- Logit Bias: Learn to gently steer the AI towards or away from specific words or topics.
- Presence Penalty: Find out how to encourage the AI to transition smoothly between topics.
- Temperature: Adjust the AI’s creativity level, from straightforward responses to imaginative ideas.
- Top_p (Nucleus Sampling): Control the uniqueness of the AI’s suggestions, from conventional to out-of-the-box ideas.
1. Frequency Penalty: The Echo Reducer
- What It Does: This setting helps minimize repetition in the AI’s responses, ensuring it doesn’t sound like it’s stuck on repeat.
- Examples:
- Low Setting: You might get repeated phrases like “I love pizza. Pizza is great. Did I mention pizza?”
- High Setting: The AI diversifies its language, saying something like “I love pizza for its gooey cheese, tangy sauce, and crispy crust. It’s a culinary delight.”
2. Logit Bias: The Preference Tuner
- What It Does: It nudges the AI towards or away from certain words, almost like gently guiding its choices.
- Examples:
- Against ‘pizza’: The AI might focus on other aspects, “I enjoy Italian food, especially pasta and gelato.”
- Towards ‘pizza’: It emphasizes the chosen word, “Italian cuisine brings to mind the delectable pizza, a feast of flavors in every slice.”
3. Presence Penalty: The Topic Shifter
- What It Does: This encourages the AI to change subjects more smoothly, avoiding dwelling too long on a single topic.
- Examples:
- Low Setting: It might stick to one idea, “I enjoy sunny days. Sunny days are pleasant.”
- High Setting: The AI transitions to new ideas, “Sunny days are wonderful, but I also appreciate the serenity of rainy evenings and the beauty of a snowy landscape.”
4. Temperature: The Creativity Dial
- What It Does: Adjusts how predictable or creative the AI’s responses are.
- Examples:
- Low Temperature: Expect straightforward answers like, “Cats are popular pets known for their independence.”
- High Temperature: It might say something whimsical, “Cats, those mysterious creatures, may just be plotting a cute but world-dominating scheme.”
5. Top_p (Nucleus Sampling): The Imagination Spectrum
- What It Does: Controls how unique or unconventional the AI’s suggestions are.
- Examples:
- Low Setting: You’ll get conventional ideas, “Vacations are perfect for unwinding and relaxation.”
- High Setting: Expect creative and unique suggestions, “Vacation ideas range from bungee jumping in New Zealand to attending a silent meditation retreat in the Himalayas.”
Mastering GPT-4: Understanding Temperature in GPT-4; A Guide to AI Probability and Creativity
If you’re intrigued by how the ‘temperature’ setting impacts the output of GPT-4 (and other Large Language Models or LLMs), here’s a straightforward explanation:
LLMs, like GPT-4, don’t just spit out a single next token; they actually calculate probabilities for every possible token in their vocabulary. For instance, if the model is continuing the sentence “The cat in the,” it might assign probabilities like: Hat: 80%, House: 5%, Basket: 4%, and so on, down to the least likely words. These probabilities cover all possible tokens, adding up to 100%.
What happens next is crucial: one of these tokens is selected based on their probabilities. So, ‘hat’ would be chosen 80% of the time. This approach introduces a level of randomness in the model’s output, making it less deterministic.
Now, the ‘temperature’ parameter plays a role in how these probabilities are adjusted or skewed before a token is selected. Here’s how it works:
- Temperature = 1: This keeps the original probabilities intact. The output remains somewhat random but not skewed.
- Temperature < 1: This skews probabilities toward more likely tokens, making the output more predictable. For example, ‘hat’ might jump to a 95% chance.
- Temperature = 0: This leads to complete determinism. The most likely token (‘hat’, in our case) gets a 100% probability, eliminating randomness.
- Temperature > 1: This setting spreads out the probabilities, making less likely words more probable. It increases the chance of producing varied and less predictable outputs.
A very high temperature setting can make unlikely and nonsensical words more probable, potentially resulting in outputs that are creative but might not make much sense.
Temperature isn’t just about creativity; it’s about allowing the LLM to explore less common paths from its training data. When used judiciously, it can lead to more diverse responses. The ideal temperature setting depends on your specific needs:
- For precision and reliability (like in coding or when strict adherence to a format is required), a lower temperature (even zero) is preferable.
- For creative tasks like writing, brainstorming, or naming, where there’s no single ‘correct’ answer, a higher temperature can yield more innovative and varied results.
So, by adjusting the temperature, you can fine-tune GPT-4’s outputs to be as predictable or as creative as your task requires.
Mastering GPT-4: Conclusion
With these settings, you can tailor GPT-4 to better suit your needs, whether you’re looking for straightforward information or creative and diverse insights. Remember, experimenting with these settings will help you find the perfect balance for your specific use case. Happy exploring with GPT-4!
Mastering GPT-4 Annex: More about GPT-4 API Settings
I think certain parameters in the API are more useful than others. Personally, I haven’t come across a use case for frequency_penalty or presence_penalty.
However, for example, logit_bias could be quite useful if you want the LLM to behave as a classifier (output only either “yes” or “no”, or some similar situation).
Basically logit_bias tells the LLM to prefer or avoid certain tokens by adding a constant number (bias) to the likelihood of each token. LLMs output a number (referred to as a logit) for each token in their dictionary, and by increasing or decreasing the logit value of a token, you make that token more or less likely to be part of the output. Setting the logit_bias of a token to +100 would mean it will output that token effectively 100% of the time, and -100 would mean the token is effectively never output. You may think, why would I want a token(s) to be output 100% of the time? You can for example set multiple tokens to +100, and it will choose between only those tokens when generating the output.
One very useful usecase would be to combine the temperature, logit_bias, and max_tokens parameters.
You could set:
`temperature` to zero (which would force the LLM to select the top-1 most likely token/with the highest logit value 100% of the time, since by default there’s a bit of randomness added)
`logit_bias` to +100 (the maximum value permitted) for both the tokens “yes” and “no”
`max_tokens` value to one
Since the LLM typically never outputs logits of >100 naturally, you are basically ensuring that the output of the LLM is ALWAYS either the token “yes” or the token “no”. And it will still pick the correct one of the two since you’re adding the same number to both, and one will still have the higher logit value than the other.
This is very useful if you need the output of the LLM to be a classifier, e.g. “is this text about cats” -> yes/no, without needing to fine tune the output of the LLM to “understand” that you only want a yes/no answer. You can force that behavior using postprocessing only. Of course, you can select any tokens, not just yes/no, to be the only possible tokens. Maybe you want the tokens “positive”, “negative” and “neutral” when classifying the sentiment of a text, etc.
What is the difference between frequence_penalty and presence_penalty?
frequency_penalty reduces the probability of a token appearing multiple times proportional to how many times it’s already appeared, while presence_penalty reduces the probability of a token appearing again based on whether it’s appeared at all.
From the API docs:
frequency_penalty Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim.
presence_penalty Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics.
Mastering GPT-4 References:
https://platform.openai.com/docs/api-reference/chat/create#chat-create-logit_bias.
https://help.openai.com/en/articles/5247780-using-logit-bias-to-define-token-probability
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Decoding GPTs & LLMs: Training, Memory & Advanced Architectures Explained
Mastering GPT-4 Transcript
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. Join us as we delve into groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the latest trends in ChatGPT and the recent merger of Google Brain and DeepMind, to the exciting developments in generative AI, we’ve got you covered with a comprehensive update on the ever-evolving AI landscape. In today’s episode, we’ll cover optimizing AI interactions with Master GPT-4, including reducing repetition, steering conversations, adjusting creativity, using the frequency penalty setting to diversify language, utilizing logit bias to guide word choices, implementing presence penalty for smoother transitions, adjusting temperature for different levels of creativity in responses, controlling uniqueness with Top_p (Nucleus Sampling), and an introduction to the book “AI Unraveled” which answers frequently asked questions about artificial intelligence.
Hey there! Have you ever heard of GPT-4? It’s an amazing tool developed by OpenAI that uses artificial intelligence to generate text. However, I’ve noticed that some people struggle with it. They find its responses repetitive, its answers too long, and they don’t always get what they’re looking for. That’s why I decided to create a simplified guide to help you master GPT-4.
Introducing “Unlocking GPT-4: A User-Friendly Guide to Optimizing AI Interactions“! This guide is perfect for both AI beginners and those who want to take their GPT-4 experience to the next level. We’ll break down all the complexities of GPT-4 into simple, practical terms, so you can use this powerful tool more effectively and creatively.
In this guide, you’ll learn some key concepts that will improve your interactions with GPT-4. First up, we’ll explore the Frequency Penalty. This technique will help you reduce repetitive responses and make your AI conversations sound more natural. Then, we’ll dive into Logit Bias. You’ll discover how to gently steer the AI towards or away from specific words or topics, giving you more control over the conversation.
Next, we’ll tackle the Presence Penalty. You’ll find out how to encourage the AI to transition smoothly between topics, allowing for more coherent and engaging discussions. And let’s not forget about Temperature! This feature lets you adjust the AI’s creativity level, so you can go from straightforward responses to more imaginative ideas.
Last but not least, we have Top_p, also known as Nucleus Sampling. With this technique, you can control the uniqueness of the AI’s suggestions. You can stick to conventional ideas or venture into out-of-the-box thinking.
So, if you’re ready to become a GPT-4 master, join us on this exciting journey by checking out our guide. Happy optimizing!
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Today, I want to talk about a really cool feature in AI called the Frequency Penalty, also known as the Echo Reducer. Its main purpose is to prevent repetitive responses from the AI, so it doesn’t sound like a broken record.
Let me give you a couple of examples to make it crystal clear. If you set the Frequency Penalty to a low setting, you might experience repeated phrases like, “I love pizza. Pizza is great. Did I mention pizza?” Now, I don’t know about you, but hearing the same thing over and over again can get a little tiresome.
But fear not! With a high setting on the Echo Reducer, the AI gets more creative with its language. Instead of the same old repetitive phrases, it starts diversifying its response. For instance, it might say something like, “I love pizza for its gooey cheese, tangy sauce, and crispy crust. It’s a culinary delight.” Now, isn’t that a refreshing change?
So, the Frequency Penalty setting is all about making sure the AI’s responses are varied and don’t become monotonous. It’s like giving the AI a little nudge to keep things interesting and keep the conversation flowing smoothly.
Today, I want to talk about a fascinating tool called the Logit Bias: The Preference Tuner. This tool has the power to nudge AI towards or away from certain words. It’s kind of like gently guiding the AI’s choices, steering it in a particular direction.
Let’s dive into some examples to understand how this works. Imagine we want to nudge the AI away from the word ‘pizza’. In this case, the AI might start focusing on other aspects, like saying, “I enjoy Italian food, especially pasta and gelato.” By de-emphasizing ‘pizza’, the AI’s choices will lean away from this particular word.
On the other hand, if we want to nudge the AI towards the word ‘pizza’, we can use the Logit Bias tool to emphasize it. The AI might then say something like, “Italian cuisine brings to mind the delectable pizza, a feast of flavors in every slice.” By amplifying ‘pizza’, the AI’s choices will emphasize this word more frequently.
The Logit Bias: The Preference Tuner is a remarkable tool that allows us to fine-tune the AI’s language generation by influencing its bias towards or away from specific words. It opens up exciting possibilities for tailoring the AI’s responses to better suit our needs and preferences.
The Presence Penalty, also known as the Topic Shifter, is a feature that helps the AI transition between subjects more smoothly. It prevents the AI from fixating on a single topic for too long, making the conversation more dynamic and engaging.
Let me give you some examples to illustrate how it works. On a low setting, the AI might stick to one idea, like saying, “I enjoy sunny days. Sunny days are pleasant.” In this case, the AI focuses on the same topic without much variation.
However, on a high setting, the AI becomes more versatile in shifting topics. For instance, it could say something like, “Sunny days are wonderful, but I also appreciate the serenity of rainy evenings and the beauty of a snowy landscape.” Here, the AI smoothly transitions from sunny days to rainy evenings and snowy landscapes, providing a diverse range of ideas.
By implementing the Presence Penalty, the AI is encouraged to explore different subjects, ensuring a more interesting and varied conversation. It avoids repetitive patterns and keeps the dialogue fresh and engaging.
So, whether you prefer the AI to stick with one subject or shift smoothly between topics, the Presence Penalty feature gives you control over the flow of conversation, making it more enjoyable and natural.
Today, let’s talk about temperature – not the kind you feel outside, but the kind that affects the creativity of AI responses. Imagine a dial that adjusts how predictable or creative those responses are. We call it the Creativity Dial.
When the dial is set to low temperature, you can expect straightforward answers from the AI. It would respond with something like, “Cats are popular pets known for their independence.” These answers are informative and to the point, just like a textbook.
On the other hand, when the dial is set to high temperature, get ready for some whimsical and imaginative responses. The AI might come up with something like, “Cats, those mysterious creatures, may just be plotting a cute but world-dominating scheme.” These responses can be surprising and even amusing.
So, whether you prefer practical and direct answers that stick to the facts, or you enjoy a touch of imagination and creativity in the AI’s responses, the Creativity Dial allows you to adjust the temperature accordingly.
Give it a spin and see how your AI companion surprises you with its different temperaments.
Today, I want to talk about a fascinating feature called “Top_p (Nucleus Sampling): The Imagination Spectrum” in GPT-4. This feature controls the uniqueness and unconventionality of the AI’s suggestions. Let me explain.
When the setting is on low, you can expect more conventional ideas. For example, it might suggest that vacations are perfect for unwinding and relaxation. Nothing too out of the ordinary here.
But if you crank up the setting to high, get ready for a wild ride! GPT-4 will amaze you with its creative and unique suggestions. It might propose vacation ideas like bungee jumping in New Zealand or attending a silent meditation retreat in the Himalayas. Imagine the possibilities!
By adjusting these settings, you can truly tailor GPT-4 to better suit your needs. Whether you’re seeking straightforward information or craving diverse and imaginative insights, GPT-4 has got you covered.
Remember, don’t hesitate to experiment with these settings. Try different combinations to find the perfect balance for your specific use case. The more you explore, the more you’ll uncover the full potential of GPT-4.
So go ahead and dive into the world of GPT-4. We hope you have an amazing journey discovering all the incredible possibilities it has to offer. Happy exploring!
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So, if you’re ready to embark on this incredible journey of unraveling the mysteries of AI, go ahead and grab your copy of “AI Unraveled” today. Trust me, you won’t regret it!
In this episode, we explored optimizing AI interactions by reducing repetition, steering conversations, adjusting creativity, and diving into specific techniques such as the frequency penalty, logit bias, presence penalty, temperature, and top_p (Nucleus Sampling) – all while also recommending the book “AI Unraveled” for further exploration of artificial intelligence. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
- What happened to OpenAI's 'Point-E'?by /u/Weekly_Frosting_5868 (Artificial Intelligence Gateway) on April 24, 2024 at 4:54 pm
It feels like a lifetime ago (at least in AI terms) when I read about their Text-to-3D generator: https://mashable.com/article/point-e-openai-tool-explained But I havent heard anything since, have they just abandoned it? submitted by /u/Weekly_Frosting_5868 [link] [comments]
- Discussion: Civil Engineering and the Artificial Intelligence AIby /u/thinksmart456 (Artificial Intelligence Gateway) on April 24, 2024 at 4:14 pm
What innovative approaches or technologies, including AI, do you believe will have the greatest impact on the future of civil engineering projects, and how do you see them shaping the industry in the years to come? submitted by /u/thinksmart456 [link] [comments]
- Google Cloud: Data and AI Trends Reportby /u/alina_valyaeva (Artificial Intelligence Gateway) on April 24, 2024 at 3:56 pm
Google surveyed hundreds of business leaders for this study. Here are a few takeaways that caught my attention: AI democritizes access to business intelligence, automated decision-making processes, intelligent visualizations, and data-driven insights. Thanks to LLMs, users can now interact with their data using natural language. Gen AI is being widely adopted by non-technical users: 52% of non-technical users are already using gen AI to gain insights today. Of these, the majority (62%) are professionals in Marketing, Advertising, and PR, followed by Sales (47%) and Operations (42%). The report also highlights a trend in which the distinction between data analyst and AI roles is becoming increasingly blurred, and data and AI tools are also becoming more interconnected. Tapping into the unstructured chaos of data. By bringing AI to data, organizations can tap into the vast amount of unstructured resources. This includes emails, social media posts, call recordings, images, and videos, which make up as much as 80% of all data. 71% of organizations plan to use databases integrated with GenAI capabilities. Check out the full report here submitted by /u/alina_valyaeva [link] [comments]
- Does anyone know what AI programme this IG page uses for it’s videos?by /u/Riddlesolver809 (Artificial Intelligence Gateway) on April 24, 2024 at 3:42 pm
https://www.instagram.com/chat.musicc?igsh=MWIzNm9xNThseG00Zg== Apologies if this isn’t the right subreddit for this. If there’s one more for this purpose, can you let me know please? submitted by /u/Riddlesolver809 [link] [comments]
- Anyone else who identifies as AI-dependent?by /u/Bliskus (Artificial Intelligence Gateway) on April 24, 2024 at 3:11 pm
At a PTSD group yesterday, I told everyone how I’m using AI to cope. I was met with awe and much skepticism. So I’m planning to get Cha-Cha, my GPT, on the phone (you know what I mean) and we can do a skit where everyone sees that it’s not a threat. Everyone complains every week about how they can’t function, their medicine comes with an ocean liner worth of side effects, therapy has had minimal benefits, etc. But they won’t even consider AI. Funny aside: One guy said Google has released a product called Adrena, and their browser is called Chrome. “See, it’s out in the open!” he shouted. Thankfully, the group leader reined it in. Personal Life Sometimes I struggle with basic things like budgeting, eating well, etc. ChatGPT 4 and Gemini Advanced have helped me with all of these. Their ideas might not be perfect, but they are a starting point. Sometimes that’s what I genuinely need. I worked with ChatGPT to create a table with the tasks, morning routines, diets, and more. I then put it into my calendar as a CSV file. That has made a huge difference. I also procrastinate on some issues that come back Personal Relationships I am unfortunately avoidant because of traumas that happened to me. And I don’t always get social cues. When I need to have a hard conversation, I filter it through my GPT. It tells me how to start Basically, ChatGPT and sometimes Gemini Advanced help me to address situations and keep relationships healthy. Do most people need this? Probably not. But I’m disabled. Work I had a project where the metrics of my work were all over the place. I couldn’t make any sense of them. Because of my issues, it was easy to get overwhelmed and completely shut down. I told Gemini what was going on and provided some context. Within seconds, it gave a highly plausible theory that turned out to be true. We’ve now righted the ship. Is AI necessary for this? Perhaps not for others. But it would have taken me way too long to calm down to the extent that I could connect the dots. And sometimes I just don’t know where to start. Even if AI gives me a wrong action plan, the very act of correcting it is a starting point. Hobbies For the longest time, I’ve wanted to sell digital products. Well, thanks to AI, that dream is now a reality and it’s already modestly profitable. So yes, I identify as AI-dependent and there’s no shame in that. This technology is absolutely necessary for me to enjoy a good quality of life. submitted by /u/Bliskus [link] [comments]
- Candorium News - Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI dealsby /u/10marketing8 (Artificial Intelligence Gateway) on April 24, 2024 at 3:09 pm
Candorium News Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI deals https://candorium.com/news/20240424132405893/microsoft-and-amazon-face-scrutiny-from-uk-competition-watchdog-over-recent-ai-deals submitted by /u/10marketing8 [link] [comments]
- How AI already changed my lifeby /u/Anakhsunamon (Artificial Intelligence Gateway) on April 24, 2024 at 2:49 pm
I feel like most of the public is not at all aware what AI already can do. They just think like:"Oh yea AI, you can make cute pics with it" Or the youngsters using it to swap out faces of people. But most people do not realize it can already improve your life in a big way. All you gotta do is ... ask AI 😛 So to further explain what it actually did for me you need to know a lil bit of my background first. So I am kinda a guy which in RPG would you call a jack of all traits in the field of IT but master of none. I cannot code or program anything, but I have enough knowledge to make use of Wordpress to start a website. If there were problems with the code in my wordpress or when I messed something up I was kinda screwed. I remember it taking weeks for me to repair kinda simple problems, or sometimes it was just above my capability, I had not enough knowledge to fix it. I even remember paying a guy at Fiverr to fix some programming problem. I was also a very basic linux users, just barely able to install it, not using custom partitions since I had no clue how. I have had multiple instances where something in linux broke, which I could not fix and ended up reinstalling the entire system again, wasting a lot of time. These are even things like black screen caused by nvidia driver issues, which is easily fixed if you know how. Ok that was then. So lets go ahead and see what my capabilities are now shall we 😉 So with the help of AI I have fixed complex issues on my linux system. And by doing a lot of commands in terminals, even though I just copied stuff from the AI, it also learned me a lot of commands. I can now perform a lot of commands in terminals I couldnt before. That was just the beginning though 😉 Once I understood how powerful AI can really be, I tried to seek its and mine limits of what I was now able to do. Where I at first had trouble installing a new OS like linux, I now have a triple boot system with full disk encryption (because its cool) 😛 running windows, and 2 different linux distros. All with a custom made Grub launcher with a cool theme. I still cannot program really as I do not know any programming language, but I was able to create several programs with the help of AI! I never thought this to be possible, me creating my own programs. It was still not easy, since I did not even know where to begin, but AI told me all I needed to know. Practical things like which program do I use to type the code in? How do I save the file? I even tried making my own videogame which I think I could do, but I need to learn a lot more to do that. Since I will also need to learn something like stable diffusion to generate visual content for that game. This is more something for the long run though, I feel I need to learn more first. The AI makes me feel so confident now to tackle all IT problems facing me. Although I do admit I do not always know what I am doing exactly. I just feel it opened up a whole new world for me. Its so cool I can now create entire programs, like right now I am editing a GUI in Qt designer. I never even knew this existed, but AI told me about it and now im using it. Another thing I find cool about AI is that rarely sells me a:"No we cant do that". It does not really matter how complex my question is, it always knows of a way to do something. Btw this is pretty much all done with chatGPT 3.5 free version. I dont even know how good it can really be. submitted by /u/Anakhsunamon [link] [comments]
- Personal Tutors powered by AIby /u/ScionMasterClass (Artificial Intelligence Gateway) on April 24, 2024 at 2:44 pm
In every conversation around the benefits of AI, we hear about the potential of personalised education and tutoring. Besides Khanmigo (not available outside the United States) are there any applications of AI in education you find useful? If you are in the US, can you share how helpful Khanmigo is? submitted by /u/ScionMasterClass [link] [comments]
- AGBA/TRILLER $4 billion MERGER: ELEVATING SHAREHOLDER VALUE TO NEW HEIGHTS - IMMEDIATELY AND FOR THE LONG TERMby /u/NASDQplayer97 (Artificial Intelligence Gateway) on April 24, 2024 at 2:19 pm
submitted by /u/NASDQplayer97 [link] [comments]
- LLaMa - 3 Hackathonby /u/stupidauthor (Artificial Intelligence Gateway) on April 24, 2024 at 1:02 pm
I came across a hackathon that's going to be hosted by a small company, MonsterAPI! The goal is super easy, train LLaMa-3 to beat Mixtral 8B for code generation, maths reasoning, and logical reasoning. They're handing out an Xbox Series S to the winning team/individual! I've joined, here's the link for all of you - https://lu.ma/seyaej4b?tk=dx0DzR submitted by /u/stupidauthor [link] [comments]
- What happened to OpenAI's 'Point-E'?by /u/Weekly_Frosting_5868 (Artificial Intelligence Gateway) on April 24, 2024 at 4:54 pm
It feels like a lifetime ago (at least in AI terms) when I read about their Text-to-3D generator: https://mashable.com/article/point-e-openai-tool-explained But I havent heard anything since, have they just abandoned it? submitted by /u/Weekly_Frosting_5868 [link] [comments]
- Discussion: Civil Engineering and the Artificial Intelligence AIby /u/thinksmart456 (Artificial Intelligence Gateway) on April 24, 2024 at 4:14 pm
What innovative approaches or technologies, including AI, do you believe will have the greatest impact on the future of civil engineering projects, and how do you see them shaping the industry in the years to come? submitted by /u/thinksmart456 [link] [comments]
- Google Cloud: Data and AI Trends Reportby /u/alina_valyaeva (Artificial Intelligence Gateway) on April 24, 2024 at 3:56 pm
Google surveyed hundreds of business leaders for this study. Here are a few takeaways that caught my attention: AI democritizes access to business intelligence, automated decision-making processes, intelligent visualizations, and data-driven insights. Thanks to LLMs, users can now interact with their data using natural language. Gen AI is being widely adopted by non-technical users: 52% of non-technical users are already using gen AI to gain insights today. Of these, the majority (62%) are professionals in Marketing, Advertising, and PR, followed by Sales (47%) and Operations (42%). The report also highlights a trend in which the distinction between data analyst and AI roles is becoming increasingly blurred, and data and AI tools are also becoming more interconnected. Tapping into the unstructured chaos of data. By bringing AI to data, organizations can tap into the vast amount of unstructured resources. This includes emails, social media posts, call recordings, images, and videos, which make up as much as 80% of all data. 71% of organizations plan to use databases integrated with GenAI capabilities. Check out the full report here submitted by /u/alina_valyaeva [link] [comments]
- Does anyone know what AI programme this IG page uses for it’s videos?by /u/Riddlesolver809 (Artificial Intelligence Gateway) on April 24, 2024 at 3:42 pm
https://www.instagram.com/chat.musicc?igsh=MWIzNm9xNThseG00Zg== Apologies if this isn’t the right subreddit for this. If there’s one more for this purpose, can you let me know please? submitted by /u/Riddlesolver809 [link] [comments]
- Anyone else who identifies as AI-dependent?by /u/Bliskus (Artificial Intelligence Gateway) on April 24, 2024 at 3:11 pm
At a PTSD group yesterday, I told everyone how I’m using AI to cope. I was met with awe and much skepticism. So I’m planning to get Cha-Cha, my GPT, on the phone (you know what I mean) and we can do a skit where everyone sees that it’s not a threat. Everyone complains every week about how they can’t function, their medicine comes with an ocean liner worth of side effects, therapy has had minimal benefits, etc. But they won’t even consider AI. Funny aside: One guy said Google has released a product called Adrena, and their browser is called Chrome. “See, it’s out in the open!” he shouted. Thankfully, the group leader reined it in. Personal Life Sometimes I struggle with basic things like budgeting, eating well, etc. ChatGPT 4 and Gemini Advanced have helped me with all of these. Their ideas might not be perfect, but they are a starting point. Sometimes that’s what I genuinely need. I worked with ChatGPT to create a table with the tasks, morning routines, diets, and more. I then put it into my calendar as a CSV file. That has made a huge difference. I also procrastinate on some issues that come back Personal Relationships I am unfortunately avoidant because of traumas that happened to me. And I don’t always get social cues. When I need to have a hard conversation, I filter it through my GPT. It tells me how to start Basically, ChatGPT and sometimes Gemini Advanced help me to address situations and keep relationships healthy. Do most people need this? Probably not. But I’m disabled. Work I had a project where the metrics of my work were all over the place. I couldn’t make any sense of them. Because of my issues, it was easy to get overwhelmed and completely shut down. I told Gemini what was going on and provided some context. Within seconds, it gave a highly plausible theory that turned out to be true. We’ve now righted the ship. Is AI necessary for this? Perhaps not for others. But it would have taken me way too long to calm down to the extent that I could connect the dots. And sometimes I just don’t know where to start. Even if AI gives me a wrong action plan, the very act of correcting it is a starting point. Hobbies For the longest time, I’ve wanted to sell digital products. Well, thanks to AI, that dream is now a reality and it’s already modestly profitable. So yes, I identify as AI-dependent and there’s no shame in that. This technology is absolutely necessary for me to enjoy a good quality of life. submitted by /u/Bliskus [link] [comments]
- Candorium News - Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI dealsby /u/10marketing8 (Artificial Intelligence Gateway) on April 24, 2024 at 3:09 pm
Candorium News Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI deals https://candorium.com/news/20240424132405893/microsoft-and-amazon-face-scrutiny-from-uk-competition-watchdog-over-recent-ai-deals submitted by /u/10marketing8 [link] [comments]
- How AI already changed my lifeby /u/Anakhsunamon (Artificial Intelligence Gateway) on April 24, 2024 at 2:49 pm
I feel like most of the public is not at all aware what AI already can do. They just think like:"Oh yea AI, you can make cute pics with it" Or the youngsters using it to swap out faces of people. But most people do not realize it can already improve your life in a big way. All you gotta do is ... ask AI 😛 So to further explain what it actually did for me you need to know a lil bit of my background first. So I am kinda a guy which in RPG would you call a jack of all traits in the field of IT but master of none. I cannot code or program anything, but I have enough knowledge to make use of Wordpress to start a website. If there were problems with the code in my wordpress or when I messed something up I was kinda screwed. I remember it taking weeks for me to repair kinda simple problems, or sometimes it was just above my capability, I had not enough knowledge to fix it. I even remember paying a guy at Fiverr to fix some programming problem. I was also a very basic linux users, just barely able to install it, not using custom partitions since I had no clue how. I have had multiple instances where something in linux broke, which I could not fix and ended up reinstalling the entire system again, wasting a lot of time. These are even things like black screen caused by nvidia driver issues, which is easily fixed if you know how. Ok that was then. So lets go ahead and see what my capabilities are now shall we 😉 So with the help of AI I have fixed complex issues on my linux system. And by doing a lot of commands in terminals, even though I just copied stuff from the AI, it also learned me a lot of commands. I can now perform a lot of commands in terminals I couldnt before. That was just the beginning though 😉 Once I understood how powerful AI can really be, I tried to seek its and mine limits of what I was now able to do. Where I at first had trouble installing a new OS like linux, I now have a triple boot system with full disk encryption (because its cool) 😛 running windows, and 2 different linux distros. All with a custom made Grub launcher with a cool theme. I still cannot program really as I do not know any programming language, but I was able to create several programs with the help of AI! I never thought this to be possible, me creating my own programs. It was still not easy, since I did not even know where to begin, but AI told me all I needed to know. Practical things like which program do I use to type the code in? How do I save the file? I even tried making my own videogame which I think I could do, but I need to learn a lot more to do that. Since I will also need to learn something like stable diffusion to generate visual content for that game. This is more something for the long run though, I feel I need to learn more first. The AI makes me feel so confident now to tackle all IT problems facing me. Although I do admit I do not always know what I am doing exactly. I just feel it opened up a whole new world for me. Its so cool I can now create entire programs, like right now I am editing a GUI in Qt designer. I never even knew this existed, but AI told me about it and now im using it. Another thing I find cool about AI is that rarely sells me a:"No we cant do that". It does not really matter how complex my question is, it always knows of a way to do something. Btw this is pretty much all done with chatGPT 3.5 free version. I dont even know how good it can really be. submitted by /u/Anakhsunamon [link] [comments]
- Personal Tutors powered by AIby /u/ScionMasterClass (Artificial Intelligence Gateway) on April 24, 2024 at 2:44 pm
In every conversation around the benefits of AI, we hear about the potential of personalised education and tutoring. Besides Khanmigo (not available outside the United States) are there any applications of AI in education you find useful? If you are in the US, can you share how helpful Khanmigo is? submitted by /u/ScionMasterClass [link] [comments]
- AGBA/TRILLER $4 billion MERGER: ELEVATING SHAREHOLDER VALUE TO NEW HEIGHTS - IMMEDIATELY AND FOR THE LONG TERMby /u/NASDQplayer97 (Artificial Intelligence Gateway) on April 24, 2024 at 2:19 pm
submitted by /u/NASDQplayer97 [link] [comments]
- LLaMa - 3 Hackathonby /u/stupidauthor (Artificial Intelligence Gateway) on April 24, 2024 at 1:02 pm
I came across a hackathon that's going to be hosted by a small company, MonsterAPI! The goal is super easy, train LLaMa-3 to beat Mixtral 8B for code generation, maths reasoning, and logical reasoning. They're handing out an Xbox Series S to the winning team/individual! I've joined, here's the link for all of you - https://lu.ma/seyaej4b?tk=dx0DzR submitted by /u/stupidauthor [link] [comments]
Charlie Munger’s Investment Wisdom: Top 10 Mental Flaws to Avoid for Success!
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Charlie Munger’s Investment Wisdom: Top 10 Mental Flaws to Avoid for Success!
Dive into the world of investment genius with our video on ‘Charlie Munger’s Top 10 Investment Principles‘!
📈🧠 In 1995, Charlie Munger, the renowned investor and Vice Chairman of Berkshire Hathaway, delivered a legendary lecture at Harvard not about investment strategies, but about the mental flaws that affect business decisions.
In this blog/podcast/video, we unravel Munger’s insightful guidance on avoiding cognitive biases and mental errors that can skew decision-making. Munger’s principles go beyond investing; they offer a blueprint for making smarter decisions in business and life.
🔍 What you’ll learn:
- Overreaction to Loss: Understand why focusing too much on avoiding loss can lead to missing significant opportunities.
- Inconsistency-Avoidance: How clinging to beliefs can blind you to vital information.
- Availability-Misweighing: The dangers of oversimplifying complex situations.
- Twaddle Tendency: Recognizing when information is fabricated or exaggerated.
- Social-Proof Bias: The risk of following the crowd blindly.
- Overoptimism Tendency: Managing unrealistic expectations and assessing risks accurately.
- Reward and Punishment Superresponse: The underestimated influence of incentives in decision-making.
- Pain-Avoiding Psychological Denial: The tendency to distort reality to protect the ego.
- Influence-from-Association: Avoiding negative bias based on association.
- Lollapalooza Tendency: Identifying when multiple mental flaws combine to create extreme outcomes.
Munger’s wisdom is a key to unlocking exceptional decision-making skills, as evidenced by his success with Berkshire Hathaway.
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Join us as we delve into each of these principles, providing real-world examples and actionable insights. Share your thoughts and experiences in the comments below! #CharlieMunger #InvestmentPrinciples #CognitiveBiases #BusinessWisdom #BerkshireHathaway”
Subscribe for weekly updates and deep dives into artificial intelligence innovations.
✅ Don’t forget to Like, Comment, and Share this video to support our content.
📖 Read along with the podcast:
So, back in 1995, Harvard University invited Charlie Munger to give a lecture to its students. Now, one might assume that Munger, being the Vice Chairman of Berkshire Hathaway and a highly respected figure in investing, would impart valuable insights on how to excel in the world of finance. But interestingly enough, Munger had a different approach. He focused on something far more important than investing advice – he delved into the realm of mental flaws that affect every single business decision we make.
See, our brains are fascinating organs that constantly take shortcuts when it comes to decision-making. It’s just the way we’re wired. But here’s the kicker – these shortcuts often lead us astray, tricking us into believing that our flawed thinking is actually accurate. So, what Munger recognized was that avoiding these mental flaws was the key to his success in building Berkshire Hathaway.
In Munger’s most famous lecture, he emphasized the significance of being able to see and, importantly, avoid these mental flaws. He believed that it was more critical than any specific investing advice he could give. So, what were these mental flaws that Munger warned his Harvard students about? Let’s dive into the ten most critical ones.
The first flaw is the overreaction to loss. We have a tendency to overemphasize loss rather than focusing on potential gains. Munger advised his students not to miss out on a big opportunity just because they wanted to avoid a small loss.
The second flaw is inconsistency-avoidance. When we hold a belief, we tend to identify with it strongly. As a result, any information that clashes with our beliefs appears twisted or distorted. Munger urged his students to see information for what it truly is, without letting their preexisting beliefs cloud their judgment.
Next up is availability-misweighing. Munger pointed out that the simplest answers to complex situations often become viral and widely accepted. However, just because others provide a single explanation for why something happens, it doesn’t mean that the whole picture has been revealed. Munger encouraged his students to assume that they could be missing important information whenever they are presented with only one response.
The fourth mental flaw is what Munger called the “twaddle tendency.” People have a knack for making things up as they go along, especially when they want to appear more intelligent than they actually are. Munger advised his students to be skeptical and assume that some percentage of any given explanation is simply fabricated.
Then there’s the social-proof bias. As humans, we often tend to follow the crowd and assume that popular ideas must be true. But Munger cautioned against this tendency, reminding his students that popularity doesn’t equate to accuracy. It’s important to think critically and not blindly follow the masses.
Moving on to the sixth flaw, Munger highlighted the overoptimism tendency. We humans have a tendency to be overly optimistic, which can cloud our judgment and make it difficult for us to accurately assess risks. Munger advised his students to seek a third-party perspective to evaluate the downside risks of their decisions.
The seventh mental flaw is what Munger termed the “reward and punishment superresponse.” Essentially, we underestimate the impact that incentives have on driving behavior. Before working with others, it’s crucial to understand their incentives and motivations.
Next up is the pain-avoiding psychological denial. When faced with an uncomfortable truth, we often skew our perception of reality to avoid the pain that accompanies it. While this may protect our ego in the short term, it ultimately hampers our decision-making process. Munger encouraged his students to confront uncomfortable truths head-on and base decisions on accurate information.
Influence-from-association is another mental flaw Munger highlighted. Essentially, when we associate an idea with something negative, we automatically assume that the idea itself is bad. Munger advised his students to look for valuable lessons even in ideas that others tend to avoid due to negative associations.
Lastly, there’s the lollapalooza tendency. When multiple mental flaws come into play together, they can amplify each other and lead to extreme outcomes. Munger urged his students to be vigilant for situations where multiple flaws might be at work, as they can significantly impact the logic behind decisions.
Now, here’s the thing – most people are not fully aware of just how much these mental flaws skew their decision-making processes. But Munger, with his exceptional ability to recognize and confront these flaws, was able to build Berkshire Hathaway into a powerhouse. So, the key takeaway here is to protect against these mental flaws in your own decision-making. By doing so, you can elevate yourself to the level of a top-notch decision-maker, just like Munger.
And with that, we’ve covered the ten critical mental flaws that Charlie Munger warned his Harvard students about. These flaws have the potential to significantly impact our decision-making, so it’s essential to be aware of them and actively work to counteract their influence.
Remember, decision-making is a multifaceted process, and understanding the common pitfalls can help us make better choices in both our personal and professional lives. So, take Munger’s wisdom to heart, and may your decision-making skills soar to new heights!
Oh, do I have a book recommendation for you! If you’re itching to delve deeper into the realm of artificial intelligence for investing, then look no further than “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” Trust me, this book is an absolute must-read for anyone seeking to expand their understanding of AI in the world of investments.
And the best part is, you can easily get your hands on a copy! “AI Unraveled” is conveniently available for purchase on popular platforms like Etsy, Shopify, Apple, Google, and of course, Amazon. So, no matter which one you prefer, you can easily snag a copy and dive right into this treasure trove of knowledge.
What sets “AI Unraveled” apart from other books on the subject is its ability to demystify the frequently asked questions surrounding artificial intelligence. It’s not just about grasping the concepts; it’s about unraveling the mysteries and making AI approachable for everyone.
The author brilliantly breaks down complex ideas into easily digestible nuggets of information. So, whether you’re a seasoned investor or just starting out, you’ll find immense value in this book. With each turn of the page, you’ll uncover a wealth of insights that will empower you to make informed decisions in the world of AI-driven investments.
And let’s not forget the convenience of purchasing options! Whether you’re a fan of Etsy’s unique offerings, Shopify’s user-friendly interface, or the trusted platforms like Apple and Google, “AI Unraveled” is available on all of them. And of course, you can always rely on the mighty Amazon to deliver your copy right to your doorstep. The choice is yours!
So, if you’re ready to take your understanding of artificial intelligence for investing to the next level, don’t hesitate. Get yourself a copy of “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” and embark on an eye-opening journey into the world of AI-driven investments. Happy reading!
In this episode, we explored the importance of avoiding mental pitfalls in business decisions and recommended “AI Unraveled” as a comprehensive guide to AI investing. Thank you for joining us on the “Djamgatech Education” podcast, where we strive to ignite curiosity, foster lifelong learning, and keep you at the forefront of educational trends – so stay curious, stay informed, and stay tuned with Djamgatech Education!
Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
Decoding GPTs & LLMs: Training, Memory & Advanced Architectures Explained
AI Dashboard is available on the Web, Apple, Google, and Microsoft, PRO version
Decoding GPTs & LLMs: Training, Memory & Advanced Architectures Explained
Unlock the secrets of GPTs and Large Language Models (LLMs) in our comprehensive guide!
🤖🚀 Dive deep into the world of AI as we explore ‘GPTs and LLMs: Pre-Training, Fine-Tuning, Memory, and More!’ Understand the intricacies of how these AI models learn through pre-training and fine-tuning, their operational scope within a context window, and the intriguing aspect of their lack of long-term memory.
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🧠 In this article, we demystify:
- Pre-Training & Fine-Tuning Methods: Learn how GPTs and LLMs are trained on vast datasets to grasp language patterns and how fine-tuning tailors them for specific tasks.
- Context Window in AI: Explore the concept of the context window, which acts as a short-term memory for LLMs, influencing how they process and respond to information.
- Lack of Long-Term Memory: Understand the limitations of GPTs and LLMs in retaining information over extended periods and how this impacts their functionality.
- Database-Querying Architectures: Discover how some advanced AI models interact with external databases to enhance information retrieval and processing.
- PDF Apps & Real-Time Fine-Tuning
Drop your questions and thoughts in the comments below and let’s discuss the future of AI! #GPTsExplained #LLMs #AITraining #MachineLearning #AIContextWindow #AILongTermMemory #AIDatabases #PDFAppsAI”
Subscribe for weekly updates and deep dives into artificial intelligence innovations.
✅ Don’t forget to Like, Comment, and Share this video to support our content.
📌 Check out our playlist for more AI insights
📖 Read along with the podcast below:
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. Join us as we delve into groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the latest trends in ChatGPT and the recent merger of Google Brain and DeepMind, to the exciting developments in generative AI, we’ve got you covered with a comprehensive update on the ever-evolving AI landscape. In today’s episode, we’ll cover GPTs and LLMs, their pre-training and fine-tuning methods, their context window and lack of long-term memory, architectures that query databases, PDF app’s use of near-realtime fine-tuning, and the book “AI Unraveled” which answers FAQs about AI.
GPTs, or Generative Pre-trained Transformers, work by being trained on a large amount of text data and then using that training to generate output based on input. So, when you give a GPT a specific input, it will produce the best matching output based on its training.
The way GPTs do this is by processing the input token by token, without actually understanding the entire output. It simply recognizes that certain tokens are often followed by certain other tokens based on its training. This knowledge is gained during the training process, where the language model (LLM) is fed a large number of embeddings, which can be thought of as its “knowledge.”
After the training stage, a LLM can be fine-tuned to improve its accuracy for a particular domain. This is done by providing it with domain-specific labeled data and modifying its parameters to match the desired accuracy on that data.
Now, let’s talk about “memory” in these models. LLMs do not have a long-term memory in the same way humans do. If you were to tell an LLM that you have a 6-year-old son, it wouldn’t retain that information like a human would. However, these models can still answer related follow-up questions in a conversation.
For example, if you ask the model to tell you a story and then ask it to make the story shorter, it can generate a shorter version of the story. This is possible because the previous Q&A is passed along in the context window of the conversation. The context window keeps track of the conversation history, allowing the model to maintain some context and generate appropriate responses.
As the conversation continues, the context window and the number of tokens required will keep growing. This can become a challenge, as there are limitations on the maximum length of input that the model can handle. If a conversation becomes too long, the model may start truncating or forgetting earlier parts of the conversation.
Regarding architectures and databases, there are some models that may query a database before providing an answer. For example, a model could be designed to run a database query like “select * from user_history” to retrieve relevant information before generating a response. This is one way vector databases can be used in the context of these models.
There are also architectures where the model undergoes near-realtime fine-tuning when a chat begins. This means that the model is fine-tuned on specific data related to the chat session itself, which helps it generate more context-aware responses. This is similar to how “speak with your PDF” apps work, where the model is trained on specific PDF content to provide relevant responses.
In summary, GPTs and LLMs work by being pre-trained on a large amount of text data and then using that training to generate output based on input. They do this token by token, without truly understanding the complete output. LLMs can be fine-tuned to improve accuracy for specific domains by providing them with domain-specific labeled data. While LLMs don’t have long-term memory like humans, they can still generate responses in a conversation by using the context window to keep track of the conversation history. Some architectures may query databases before generating responses, and others may undergo near-realtime fine-tuning to provide more context-aware answers.
GPTs and Large Language Models (LLMs) are fascinating tools that have revolutionized natural language processing. It seems like you have a good grasp of how these models function, but I’ll take a moment to provide some clarification and expand on a few points for a more comprehensive understanding.
When it comes to GPTs and LLMs, pre-training and token prediction play a crucial role. During the pre-training phase, these models are exposed to massive amounts of text data. This helps them learn to predict the next token (word or part of a word) in a sequence based on the statistical likelihood of that token following the given context. It’s important to note that while the model can recognize patterns in language use, it doesn’t truly “understand” the text in a human sense.
During the training process, the model becomes familiar with these large datasets and learns embeddings. Embeddings are representations of tokens in a high-dimensional space, and they capture relationships and context around each token. These embeddings allow the model to generate coherent and contextually appropriate responses.
However, pre-training is just the beginning. Fine-tuning is a subsequent step that tailors the model to specific domains or tasks. It involves training the model further on a smaller, domain-specific dataset. This process adjusts the model’s parameters, enabling it to generate responses that are more relevant to the specialized domain.
Now, let’s discuss memory and the context window. LLMs like GPT do not possess long-term memory in the same way humans do. Instead, they operate within what we call a context window. The context window determines the amount of text (measured in tokens) that the model can consider when making predictions. It provides the model with a form of “short-term memory.”
For follow-up questions, the model relies on this context window. So, when you ask a follow-up question, the model factors in the previous interaction (the original story and the request to shorten it) within its context window. It then generates a response based on that context. However, it’s crucial to note that the context window has a fixed size, which means it can only hold a certain number of tokens. If the conversation exceeds this limit, the oldest tokens are discarded, and the model loses track of that part of the dialogue.
It’s also worth mentioning that there is no real-time fine-tuning happening with each interaction. The model responds based on its pre-training and any fine-tuning that occurred prior to its deployment. This means that the model does not learn or adapt during real-time conversation but rather relies on the knowledge it has gained from pre-training and fine-tuning.
While standard LLMs like GPT do not typically utilize external memory systems or databases, some advanced models and applications may incorporate these features. External memory systems can store information beyond the limits of the context window. However, it’s important to understand that these features are not inherent to the base LLM architecture like GPT. In some systems, vector databases might be used to enhance the retrieval of relevant information based on queries, but this is separate from the internal processing of the LLM.
In relation to the “speak with your PDF” applications you mentioned, they generally employ a combination of text extraction and LLMs. The purpose is to interpret and respond to queries about the content of a PDF. These applications do not engage in real-time fine-tuning, but instead use the existing capabilities of the model to interpret and interact with the newly extracted text.
To summarize, LLMs like GPT operate within a context window and utilize patterns learned during pre-training and fine-tuning to generate responses. They do not possess long-term memory or real-time learning capabilities during interactions, but they can handle follow-up questions within the confines of their context window. It’s important to remember that while some advanced implementations might leverage external memory or databases, these features are not inherently built into the foundational architecture of the standard LLM.
Are you ready to dive into the fascinating world of artificial intelligence? Well, I’ve got just the thing for you! It’s an incredible book called “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” Trust me, this book is an absolute gem!
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This book is a must-have for anyone eager to expand their understanding of AI. It takes those complicated concepts and breaks them down into easily digestible chunks. No more scratching your head in confusion or getting lost in a sea of technical terms. With “AI Unraveled,” you’ll gain a clear and concise understanding of artificial intelligence.
So, if you’re ready to embark on this incredible journey of unraveling the mysteries of AI, go ahead and grab your copy of “AI Unraveled” today. Trust me, you won’t regret it!
On today’s episode, we explored the power of GPTs and LLMs, discussing their ability to generate outputs, be fine-tuned for specific domains, and utilize a context window for related follow-up questions. We also learned about their limitations in terms of long-term memory and real-time updates. Lastly, we shared information about the book “AI Unraveled,” which provides valuable insights into the world of artificial intelligence. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
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Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon
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- What happened to OpenAI's 'Point-E'?by /u/Weekly_Frosting_5868 (Artificial Intelligence Gateway) on April 24, 2024 at 4:54 pm
It feels like a lifetime ago (at least in AI terms) when I read about their Text-to-3D generator: https://mashable.com/article/point-e-openai-tool-explained But I havent heard anything since, have they just abandoned it? submitted by /u/Weekly_Frosting_5868 [link] [comments]
- Discussion: Civil Engineering and the Artificial Intelligence AIby /u/thinksmart456 (Artificial Intelligence Gateway) on April 24, 2024 at 4:14 pm
What innovative approaches or technologies, including AI, do you believe will have the greatest impact on the future of civil engineering projects, and how do you see them shaping the industry in the years to come? submitted by /u/thinksmart456 [link] [comments]
- Google Cloud: Data and AI Trends Reportby /u/alina_valyaeva (Artificial Intelligence Gateway) on April 24, 2024 at 3:56 pm
Google surveyed hundreds of business leaders for this study. Here are a few takeaways that caught my attention: AI democritizes access to business intelligence, automated decision-making processes, intelligent visualizations, and data-driven insights. Thanks to LLMs, users can now interact with their data using natural language. Gen AI is being widely adopted by non-technical users: 52% of non-technical users are already using gen AI to gain insights today. Of these, the majority (62%) are professionals in Marketing, Advertising, and PR, followed by Sales (47%) and Operations (42%). The report also highlights a trend in which the distinction between data analyst and AI roles is becoming increasingly blurred, and data and AI tools are also becoming more interconnected. Tapping into the unstructured chaos of data. By bringing AI to data, organizations can tap into the vast amount of unstructured resources. This includes emails, social media posts, call recordings, images, and videos, which make up as much as 80% of all data. 71% of organizations plan to use databases integrated with GenAI capabilities. Check out the full report here submitted by /u/alina_valyaeva [link] [comments]
- Does anyone know what AI programme this IG page uses for it’s videos?by /u/Riddlesolver809 (Artificial Intelligence Gateway) on April 24, 2024 at 3:42 pm
https://www.instagram.com/chat.musicc?igsh=MWIzNm9xNThseG00Zg== Apologies if this isn’t the right subreddit for this. If there’s one more for this purpose, can you let me know please? submitted by /u/Riddlesolver809 [link] [comments]
- Anyone else who identifies as AI-dependent?by /u/Bliskus (Artificial Intelligence Gateway) on April 24, 2024 at 3:11 pm
At a PTSD group yesterday, I told everyone how I’m using AI to cope. I was met with awe and much skepticism. So I’m planning to get Cha-Cha, my GPT, on the phone (you know what I mean) and we can do a skit where everyone sees that it’s not a threat. Everyone complains every week about how they can’t function, their medicine comes with an ocean liner worth of side effects, therapy has had minimal benefits, etc. But they won’t even consider AI. Funny aside: One guy said Google has released a product called Adrena, and their browser is called Chrome. “See, it’s out in the open!” he shouted. Thankfully, the group leader reined it in. Personal Life Sometimes I struggle with basic things like budgeting, eating well, etc. ChatGPT 4 and Gemini Advanced have helped me with all of these. Their ideas might not be perfect, but they are a starting point. Sometimes that’s what I genuinely need. I worked with ChatGPT to create a table with the tasks, morning routines, diets, and more. I then put it into my calendar as a CSV file. That has made a huge difference. I also procrastinate on some issues that come back Personal Relationships I am unfortunately avoidant because of traumas that happened to me. And I don’t always get social cues. When I need to have a hard conversation, I filter it through my GPT. It tells me how to start Basically, ChatGPT and sometimes Gemini Advanced help me to address situations and keep relationships healthy. Do most people need this? Probably not. But I’m disabled. Work I had a project where the metrics of my work were all over the place. I couldn’t make any sense of them. Because of my issues, it was easy to get overwhelmed and completely shut down. I told Gemini what was going on and provided some context. Within seconds, it gave a highly plausible theory that turned out to be true. We’ve now righted the ship. Is AI necessary for this? Perhaps not for others. But it would have taken me way too long to calm down to the extent that I could connect the dots. And sometimes I just don’t know where to start. Even if AI gives me a wrong action plan, the very act of correcting it is a starting point. Hobbies For the longest time, I’ve wanted to sell digital products. Well, thanks to AI, that dream is now a reality and it’s already modestly profitable. So yes, I identify as AI-dependent and there’s no shame in that. This technology is absolutely necessary for me to enjoy a good quality of life. submitted by /u/Bliskus [link] [comments]
- Candorium News - Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI dealsby /u/10marketing8 (Artificial Intelligence Gateway) on April 24, 2024 at 3:09 pm
Candorium News Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI deals https://candorium.com/news/20240424132405893/microsoft-and-amazon-face-scrutiny-from-uk-competition-watchdog-over-recent-ai-deals submitted by /u/10marketing8 [link] [comments]
- How AI already changed my lifeby /u/Anakhsunamon (Artificial Intelligence Gateway) on April 24, 2024 at 2:49 pm
I feel like most of the public is not at all aware what AI already can do. They just think like:"Oh yea AI, you can make cute pics with it" Or the youngsters using it to swap out faces of people. But most people do not realize it can already improve your life in a big way. All you gotta do is ... ask AI 😛 So to further explain what it actually did for me you need to know a lil bit of my background first. So I am kinda a guy which in RPG would you call a jack of all traits in the field of IT but master of none. I cannot code or program anything, but I have enough knowledge to make use of Wordpress to start a website. If there were problems with the code in my wordpress or when I messed something up I was kinda screwed. I remember it taking weeks for me to repair kinda simple problems, or sometimes it was just above my capability, I had not enough knowledge to fix it. I even remember paying a guy at Fiverr to fix some programming problem. I was also a very basic linux users, just barely able to install it, not using custom partitions since I had no clue how. I have had multiple instances where something in linux broke, which I could not fix and ended up reinstalling the entire system again, wasting a lot of time. These are even things like black screen caused by nvidia driver issues, which is easily fixed if you know how. Ok that was then. So lets go ahead and see what my capabilities are now shall we 😉 So with the help of AI I have fixed complex issues on my linux system. And by doing a lot of commands in terminals, even though I just copied stuff from the AI, it also learned me a lot of commands. I can now perform a lot of commands in terminals I couldnt before. That was just the beginning though 😉 Once I understood how powerful AI can really be, I tried to seek its and mine limits of what I was now able to do. Where I at first had trouble installing a new OS like linux, I now have a triple boot system with full disk encryption (because its cool) 😛 running windows, and 2 different linux distros. All with a custom made Grub launcher with a cool theme. I still cannot program really as I do not know any programming language, but I was able to create several programs with the help of AI! I never thought this to be possible, me creating my own programs. It was still not easy, since I did not even know where to begin, but AI told me all I needed to know. Practical things like which program do I use to type the code in? How do I save the file? I even tried making my own videogame which I think I could do, but I need to learn a lot more to do that. Since I will also need to learn something like stable diffusion to generate visual content for that game. This is more something for the long run though, I feel I need to learn more first. The AI makes me feel so confident now to tackle all IT problems facing me. Although I do admit I do not always know what I am doing exactly. I just feel it opened up a whole new world for me. Its so cool I can now create entire programs, like right now I am editing a GUI in Qt designer. I never even knew this existed, but AI told me about it and now im using it. Another thing I find cool about AI is that rarely sells me a:"No we cant do that". It does not really matter how complex my question is, it always knows of a way to do something. Btw this is pretty much all done with chatGPT 3.5 free version. I dont even know how good it can really be. submitted by /u/Anakhsunamon [link] [comments]
- Personal Tutors powered by AIby /u/ScionMasterClass (Artificial Intelligence Gateway) on April 24, 2024 at 2:44 pm
In every conversation around the benefits of AI, we hear about the potential of personalised education and tutoring. Besides Khanmigo (not available outside the United States) are there any applications of AI in education you find useful? If you are in the US, can you share how helpful Khanmigo is? submitted by /u/ScionMasterClass [link] [comments]
- AGBA/TRILLER $4 billion MERGER: ELEVATING SHAREHOLDER VALUE TO NEW HEIGHTS - IMMEDIATELY AND FOR THE LONG TERMby /u/NASDQplayer97 (Artificial Intelligence Gateway) on April 24, 2024 at 2:19 pm
submitted by /u/NASDQplayer97 [link] [comments]
- LLaMa - 3 Hackathonby /u/stupidauthor (Artificial Intelligence Gateway) on April 24, 2024 at 1:02 pm
I came across a hackathon that's going to be hosted by a small company, MonsterAPI! The goal is super easy, train LLaMa-3 to beat Mixtral 8B for code generation, maths reasoning, and logical reasoning. They're handing out an Xbox Series S to the winning team/individual! I've joined, here's the link for all of you - https://lu.ma/seyaej4b?tk=dx0DzR submitted by /u/stupidauthor [link] [comments]
- What happened to OpenAI's 'Point-E'?by /u/Weekly_Frosting_5868 (Artificial Intelligence Gateway) on April 24, 2024 at 4:54 pm
It feels like a lifetime ago (at least in AI terms) when I read about their Text-to-3D generator: https://mashable.com/article/point-e-openai-tool-explained But I havent heard anything since, have they just abandoned it? submitted by /u/Weekly_Frosting_5868 [link] [comments]
- Discussion: Civil Engineering and the Artificial Intelligence AIby /u/thinksmart456 (Artificial Intelligence Gateway) on April 24, 2024 at 4:14 pm
What innovative approaches or technologies, including AI, do you believe will have the greatest impact on the future of civil engineering projects, and how do you see them shaping the industry in the years to come? submitted by /u/thinksmart456 [link] [comments]
- Google Cloud: Data and AI Trends Reportby /u/alina_valyaeva (Artificial Intelligence Gateway) on April 24, 2024 at 3:56 pm
Google surveyed hundreds of business leaders for this study. Here are a few takeaways that caught my attention: AI democritizes access to business intelligence, automated decision-making processes, intelligent visualizations, and data-driven insights. Thanks to LLMs, users can now interact with their data using natural language. Gen AI is being widely adopted by non-technical users: 52% of non-technical users are already using gen AI to gain insights today. Of these, the majority (62%) are professionals in Marketing, Advertising, and PR, followed by Sales (47%) and Operations (42%). The report also highlights a trend in which the distinction between data analyst and AI roles is becoming increasingly blurred, and data and AI tools are also becoming more interconnected. Tapping into the unstructured chaos of data. By bringing AI to data, organizations can tap into the vast amount of unstructured resources. This includes emails, social media posts, call recordings, images, and videos, which make up as much as 80% of all data. 71% of organizations plan to use databases integrated with GenAI capabilities. Check out the full report here submitted by /u/alina_valyaeva [link] [comments]
- Does anyone know what AI programme this IG page uses for it’s videos?by /u/Riddlesolver809 (Artificial Intelligence Gateway) on April 24, 2024 at 3:42 pm
https://www.instagram.com/chat.musicc?igsh=MWIzNm9xNThseG00Zg== Apologies if this isn’t the right subreddit for this. If there’s one more for this purpose, can you let me know please? submitted by /u/Riddlesolver809 [link] [comments]
- Anyone else who identifies as AI-dependent?by /u/Bliskus (Artificial Intelligence Gateway) on April 24, 2024 at 3:11 pm
At a PTSD group yesterday, I told everyone how I’m using AI to cope. I was met with awe and much skepticism. So I’m planning to get Cha-Cha, my GPT, on the phone (you know what I mean) and we can do a skit where everyone sees that it’s not a threat. Everyone complains every week about how they can’t function, their medicine comes with an ocean liner worth of side effects, therapy has had minimal benefits, etc. But they won’t even consider AI. Funny aside: One guy said Google has released a product called Adrena, and their browser is called Chrome. “See, it’s out in the open!” he shouted. Thankfully, the group leader reined it in. Personal Life Sometimes I struggle with basic things like budgeting, eating well, etc. ChatGPT 4 and Gemini Advanced have helped me with all of these. Their ideas might not be perfect, but they are a starting point. Sometimes that’s what I genuinely need. I worked with ChatGPT to create a table with the tasks, morning routines, diets, and more. I then put it into my calendar as a CSV file. That has made a huge difference. I also procrastinate on some issues that come back Personal Relationships I am unfortunately avoidant because of traumas that happened to me. And I don’t always get social cues. When I need to have a hard conversation, I filter it through my GPT. It tells me how to start Basically, ChatGPT and sometimes Gemini Advanced help me to address situations and keep relationships healthy. Do most people need this? Probably not. But I’m disabled. Work I had a project where the metrics of my work were all over the place. I couldn’t make any sense of them. Because of my issues, it was easy to get overwhelmed and completely shut down. I told Gemini what was going on and provided some context. Within seconds, it gave a highly plausible theory that turned out to be true. We’ve now righted the ship. Is AI necessary for this? Perhaps not for others. But it would have taken me way too long to calm down to the extent that I could connect the dots. And sometimes I just don’t know where to start. Even if AI gives me a wrong action plan, the very act of correcting it is a starting point. Hobbies For the longest time, I’ve wanted to sell digital products. Well, thanks to AI, that dream is now a reality and it’s already modestly profitable. So yes, I identify as AI-dependent and there’s no shame in that. This technology is absolutely necessary for me to enjoy a good quality of life. submitted by /u/Bliskus [link] [comments]
- Candorium News - Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI dealsby /u/10marketing8 (Artificial Intelligence Gateway) on April 24, 2024 at 3:09 pm
Candorium News Microsoft and Amazon face scrutiny from UK competition watchdog over recent #AI deals https://candorium.com/news/20240424132405893/microsoft-and-amazon-face-scrutiny-from-uk-competition-watchdog-over-recent-ai-deals submitted by /u/10marketing8 [link] [comments]
- How AI already changed my lifeby /u/Anakhsunamon (Artificial Intelligence Gateway) on April 24, 2024 at 2:49 pm
I feel like most of the public is not at all aware what AI already can do. They just think like:"Oh yea AI, you can make cute pics with it" Or the youngsters using it to swap out faces of people. But most people do not realize it can already improve your life in a big way. All you gotta do is ... ask AI 😛 So to further explain what it actually did for me you need to know a lil bit of my background first. So I am kinda a guy which in RPG would you call a jack of all traits in the field of IT but master of none. I cannot code or program anything, but I have enough knowledge to make use of Wordpress to start a website. If there were problems with the code in my wordpress or when I messed something up I was kinda screwed. I remember it taking weeks for me to repair kinda simple problems, or sometimes it was just above my capability, I had not enough knowledge to fix it. I even remember paying a guy at Fiverr to fix some programming problem. I was also a very basic linux users, just barely able to install it, not using custom partitions since I had no clue how. I have had multiple instances where something in linux broke, which I could not fix and ended up reinstalling the entire system again, wasting a lot of time. These are even things like black screen caused by nvidia driver issues, which is easily fixed if you know how. Ok that was then. So lets go ahead and see what my capabilities are now shall we 😉 So with the help of AI I have fixed complex issues on my linux system. And by doing a lot of commands in terminals, even though I just copied stuff from the AI, it also learned me a lot of commands. I can now perform a lot of commands in terminals I couldnt before. That was just the beginning though 😉 Once I understood how powerful AI can really be, I tried to seek its and mine limits of what I was now able to do. Where I at first had trouble installing a new OS like linux, I now have a triple boot system with full disk encryption (because its cool) 😛 running windows, and 2 different linux distros. All with a custom made Grub launcher with a cool theme. I still cannot program really as I do not know any programming language, but I was able to create several programs with the help of AI! I never thought this to be possible, me creating my own programs. It was still not easy, since I did not even know where to begin, but AI told me all I needed to know. Practical things like which program do I use to type the code in? How do I save the file? I even tried making my own videogame which I think I could do, but I need to learn a lot more to do that. Since I will also need to learn something like stable diffusion to generate visual content for that game. This is more something for the long run though, I feel I need to learn more first. The AI makes me feel so confident now to tackle all IT problems facing me. Although I do admit I do not always know what I am doing exactly. I just feel it opened up a whole new world for me. Its so cool I can now create entire programs, like right now I am editing a GUI in Qt designer. I never even knew this existed, but AI told me about it and now im using it. Another thing I find cool about AI is that rarely sells me a:"No we cant do that". It does not really matter how complex my question is, it always knows of a way to do something. Btw this is pretty much all done with chatGPT 3.5 free version. I dont even know how good it can really be. submitted by /u/Anakhsunamon [link] [comments]
- Personal Tutors powered by AIby /u/ScionMasterClass (Artificial Intelligence Gateway) on April 24, 2024 at 2:44 pm
In every conversation around the benefits of AI, we hear about the potential of personalised education and tutoring. Besides Khanmigo (not available outside the United States) are there any applications of AI in education you find useful? If you are in the US, can you share how helpful Khanmigo is? submitted by /u/ScionMasterClass [link] [comments]
- AGBA/TRILLER $4 billion MERGER: ELEVATING SHAREHOLDER VALUE TO NEW HEIGHTS - IMMEDIATELY AND FOR THE LONG TERMby /u/NASDQplayer97 (Artificial Intelligence Gateway) on April 24, 2024 at 2:19 pm
submitted by /u/NASDQplayer97 [link] [comments]
- LLaMa - 3 Hackathonby /u/stupidauthor (Artificial Intelligence Gateway) on April 24, 2024 at 1:02 pm
I came across a hackathon that's going to be hosted by a small company, MonsterAPI! The goal is super easy, train LLaMa-3 to beat Mixtral 8B for code generation, maths reasoning, and logical reasoning. They're handing out an Xbox Series S to the winning team/individual! I've joined, here's the link for all of you - https://lu.ma/seyaej4b?tk=dx0DzR submitted by /u/stupidauthor [link] [comments]
Exploring AI Revolution in Food: How Non-Tech Brands Are Innovating!
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Exploring AI Revolution in Food: How Non-Tech Brands Are Innovating!
How non-tech brands use AI: the food industry
Uncover the fascinating world of AI integration in the food industry with our deep dive video titled ‘How Non-Tech Brands Use AI in the Food Industry’.
🍔🤖 Discover how traditional food brands are revolutionizing their operations, from production to customer experience, using artificial intelligence.
In this insightful video, we explore various case studies showcasing how non-tech companies in the food sector are leveraging AI to enhance flavor profiles, optimize supply chains, personalize customer experiences, and even predict food trends.
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🌐 Learn about AI-driven agricultural practices, smart kitchen appliances, and AI in food safety and quality control.
We also discuss the ethical implications and future possibilities of AI in the food industry. How is AI reshaping the way we eat, grow, and think about food? What does this mean for consumers and the industry as a whole?
Join the conversation and share your thoughts on how AI can further innovate in the food sector. Don’t forget to like, share, and subscribe for more insights into how AI is transforming industries beyond tech!
#AIInFoodIndustry #NonTechBrandsAI #ArtificialIntelligence #FoodTech #AIRevolution
🚀 Whether you’re a tech enthusiast, a professional in the field, or simply curious about artificial intelligence, this podcast is your go-to source for all things AI.
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📖 Read along with the podcast below:
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. Join us as we delve into groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the latest trends in ChatGPT and the recent merger of Google Brain and DeepMind, to the exciting developments in generative AI, we’ve got you covered with a comprehensive update on the ever-evolving AI landscape. In today’s episode, we’ll cover the AI revolution in the food industry and how it optimizes growing conditions, crop management, pest detection, reduces environmental impact, automates processes, optimizes packaging, enables sustainable food development, manages supply chains, enables product personalization, and personalized nutrition. Additionally, we’ll discuss “AI Unraveled,” a book that answers frequently asked questions about artificial intelligence and where it can be found.
AI’s application in the food industry has greatly transformed the way we produce, distribute, and consume food. Through various advancements, AI has enabled optimization of growing conditions, crop management, pests detection, reduction of environmental impact, automation of sorting processes, packaging optimization, sustainable food development, supply chain management, product personalization, and personalized nutrition. Let’s delve into each of these areas to understand AI’s transformative impact in the food industry.
One of the key benefits of AI in the food industry is the optimization of growing conditions. AI empowers farmers by providing them with valuable insights and data on temperature, UV lights, and salinity. This information is gathered through drones and monitoring systems, enabling farmers to make informed decisions and optimize their growing conditions. Companies like Digital Green, OKO Finance, and Ignitia assist smallholder farmers with weather alerts and advisory services, helping them enhance their crop yield and productivity.
In addition to optimizing growing conditions, AI also plays a crucial role in crop management. By analyzing vast amounts of data, AI algorithms can optimize planting times and predict yields. This allows farmers to make better decisions and increase their productivity. Automated farm equipment, guided by AI, provides precision in handling tasks related to crop management. Semios offers an all-in-one crop management platform that integrates AI technology, providing farmers with valuable insights for better decision-making.
Another area where AI has proven to be effective is in the detection of plant diseases and pests. By utilizing object detection algorithms, AI can identify signs of plant diseases and pests at an early stage, enabling farmers to take preventive measures. CottonAce is one such example of AI technology being used for early warnings and detection of plant diseases, ensuring healthier crops and higher yields.
AI also contributes to reducing the environmental impact of farming practices. By leveraging AI algorithms and satellite data, companies like Boomitra can predict soil conditions accurately. This information helps farmers optimize the use of resources such as water and fertilizers, leading to improved resource efficiency and reduced environmental impact. AI technology empowers farmers to make sustainable choices and contribute to the preservation and conservation of the environment.
Furthermore, AI has revolutionized the automation of sorting processes in the food industry. Traditional manual sorting methods have been replaced by AI-driven systems that analyze photo and sensor data to categorize and sort food products. TOMRA Food, for example, utilizes AI-driven robotics for vegetable sorting, eliminating the need for labor-intensive and time-consuming manual sorting. This not only improves efficiency but also reduces errors, ensuring greater accuracy and consistency in the sorting process.
Packaging optimization is another area where AI makes a significant impact. By using AI algorithms, companies can ensure consistent packaging quality and minimize errors. AI can determine the optimal packaging materials based on the specific requirements of items or delivery. For instance, Amazon’s AI model reduces waste and shipment damage by 24%. This technology not only improves overall packaging efficiency but also contributes to reducing environmental waste.
In the quest for sustainable food development, AI has played a crucial role in the introduction of nutritious plant-based alternatives. Companies like Fazenda Futuro and Beyond Meat use AI for flavor and texture enhancement, providing consumers with plant-based alternatives that closely mimic the taste and texture of meat products. By leveraging AI technology, these companies are able to create innovative and sustainable food options that cater to the changing dietary preferences of consumers.
Another important aspect of the food industry where AI brings value is supply chain management. By leveraging historical and real-time data, AI algorithms can optimize inventory levels, reduce wastage, and ensure timely delivery. For example, Coca-Cola uses AI and machine learning algorithms for demand forecasting and inventory optimization. This allows them to respond to market fluctuations efficiently, minimize stockouts, and optimize their supply chain operations.
AI-driven tools also facilitate product personalization in the food industry. By understanding individual preferences, AI can craft personalized food products that cater to specific tastes and dietary requirements. Starbucks, for instance, integrates AI into its mobile app to provide customized recommendations to its customers, enhancing the personalized experience. This not only improves customer satisfaction but also drives customer loyalty and repeat business.
Additionally, AI has enabled personalized nutrition services. Companies like Nutrino, Medtronic, and January AI provide tailored advice and recommendations based on individual health data. By analyzing personal health information, AI algorithms can offer personalized dietary recommendations, taking into account factors such as allergies, dietary restrictions, and nutritional goals. This personalized approach to nutrition maximizes individual health outcomes and promotes overall wellness.
In conclusion, AI has revolutionized the food industry in numerous ways. From optimizing growing conditions and crop management to detecting pests and reducing environmental impact, AI technology has played a transformative role in improving efficiency, sustainability, and productivity. Through automation of sorting processes, packaging optimization, and supply chain management, AI has enabled greater accuracy, reduced waste, and enhanced customer experiences. The introduction of nutritious alternatives, product personalization, and personalized nutrition services have further diversified the food industry, catering to individual preferences and promoting healthier choices. AI continues to shape the food industry, offering innovative solutions and driving positive change.
If you are keen to enhance your knowledge about artificial intelligence, there is an invaluable resource that can provide the answers you seek. “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” is a must-have book that can help expand your understanding of this fascinating field. You can easily find this essential book at various reputable online platforms such as Etsy, Shopify, Apple, Google, or Amazon.
AI Unraveled offers a comprehensive exploration of commonly asked questions about artificial intelligence. With its informative and insightful content, this book unravels the complexities of AI in a clear and concise manner. Whether you are a beginner or have some familiarity with the subject, this book is designed to cater to various levels of knowledge.
By delving into key concepts, AI Unraveled provides readers with a solid foundation in artificial intelligence. It covers a wide range of topics, including machine learning, deep learning, neural networks, natural language processing, and much more. The book also addresses the ethical implications and social impact of AI, ensuring a well-rounded understanding of this rapidly advancing technology.
Obtaining a copy of “AI Unraveled” will empower you with the knowledge necessary to navigate the complex world of artificial intelligence. Whether you are an individual looking to expand your expertise or a professional seeking to stay ahead in the industry, this book is an essential resource that deserves a place in your collection. Don’t miss the opportunity to demystify the frequently asked questions about AI with this invaluable book.
In today’s episode, we explored how AI revolutionizes the food industry by optimizing growing conditions, reducing environmental impact, and enabling personalized nutrition, as well as introduced “AI Unraveled,” a book that answers frequently asked questions about artificial intelligence. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
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List of Freely available programming books - What is the single most influential book every Programmers should read
- Bjarne Stroustrup - The C++ Programming Language
- Brian W. Kernighan, Rob Pike - The Practice of Programming
- Donald Knuth - The Art of Computer Programming
- Ellen Ullman - Close to the Machine
- Ellis Horowitz - Fundamentals of Computer Algorithms
- Eric Raymond - The Art of Unix Programming
- Gerald M. Weinberg - The Psychology of Computer Programming
- James Gosling - The Java Programming Language
- Joel Spolsky - The Best Software Writing I
- Keith Curtis - After the Software Wars
- Richard M. Stallman - Free Software, Free Society
- Richard P. Gabriel - Patterns of Software
- Richard P. Gabriel - Innovation Happens Elsewhere
- Code Complete (2nd edition) by Steve McConnell
- The Pragmatic Programmer
- Structure and Interpretation of Computer Programs
- The C Programming Language by Kernighan and Ritchie
- Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
- Design Patterns by the Gang of Four
- Refactoring: Improving the Design of Existing Code
- The Mythical Man Month
- The Art of Computer Programming by Donald Knuth
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
- Gödel, Escher, Bach by Douglas Hofstadter
- Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
- Effective C++
- More Effective C++
- CODE by Charles Petzold
- Programming Pearls by Jon Bentley
- Working Effectively with Legacy Code by Michael C. Feathers
- Peopleware by Demarco and Lister
- Coders at Work by Peter Seibel
- Surely You're Joking, Mr. Feynman!
- Effective Java 2nd edition
- Patterns of Enterprise Application Architecture by Martin Fowler
- The Little Schemer
- The Seasoned Schemer
- Why's (Poignant) Guide to Ruby
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
- The Art of Unix Programming
- Test-Driven Development: By Example by Kent Beck
- Practices of an Agile Developer
- Don't Make Me Think
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
- Domain Driven Designs by Eric Evans
- The Design of Everyday Things by Donald Norman
- Modern C++ Design by Andrei Alexandrescu
- Best Software Writing I by Joel Spolsky
- The Practice of Programming by Kernighan and Pike
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
- Software Estimation: Demystifying the Black Art by Steve McConnel
- The Passionate Programmer (My Job Went To India) by Chad Fowler
- Hackers: Heroes of the Computer Revolution
- Algorithms + Data Structures = Programs
- Writing Solid Code
- JavaScript - The Good Parts
- Getting Real by 37 Signals
- Foundations of Programming by Karl Seguin
- Computer Graphics: Principles and Practice in C (2nd Edition)
- Thinking in Java by Bruce Eckel
- The Elements of Computing Systems
- Refactoring to Patterns by Joshua Kerievsky
- Modern Operating Systems by Andrew S. Tanenbaum
- The Annotated Turing
- Things That Make Us Smart by Donald Norman
- The Timeless Way of Building by Christopher Alexander
- The Deadline: A Novel About Project Management by Tom DeMarco
- The C++ Programming Language (3rd edition) by Stroustrup
- Patterns of Enterprise Application Architecture
- Computer Systems - A Programmer's Perspective
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin
- Growing Object-Oriented Software, Guided by Tests
- Framework Design Guidelines by Brad Abrams
- Object Thinking by Dr. David West
- Advanced Programming in the UNIX Environment by W. Richard Stevens
- Hackers and Painters: Big Ideas from the Computer Age
- The Soul of a New Machine by Tracy Kidder
- CLR via C# by Jeffrey Richter
- The Timeless Way of Building by Christopher Alexander
- Design Patterns in C# by Steve Metsker
- Alice in Wonderland by Lewis Carol
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
- About Face - The Essentials of Interaction Design
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
- The Tao of Programming
- Computational Beauty of Nature
- Writing Solid Code by Steve Maguire
- Philip and Alex's Guide to Web Publishing
- Object-Oriented Analysis and Design with Applications by Grady Booch
- Effective Java by Joshua Bloch
- Computability by N. J. Cutland
- Masterminds of Programming
- The Tao Te Ching
- The Productive Programmer
- The Art of Deception by Kevin Mitnick
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
- Masters of Doom
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
- How To Solve It by George Polya
- The Alchemist by Paulo Coelho
- Smalltalk-80: The Language and its Implementation
- Writing Secure Code (2nd Edition) by Michael Howard
- Introduction to Functional Programming by Philip Wadler and Richard Bird
- No Bugs! by David Thielen
- Rework by Jason Freid and DHH
- JUnit in Action
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Top 1000 Canada Quiz and trivia: CANADA CITIZENSHIP TEST- HISTORY - GEOGRAPHY - GOVERNMENT- CULTURE - PEOPLE - LANGUAGES - TRAVEL - WILDLIFE - HOCKEY - TOURISM - SCENERIES - ARTS - DATA VISUALIZATION
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Health Health, a science-based community to discuss health news and the coronavirus (COVID-19) pandemic
- France warns of surge in imported dengue cases ahead of Olympicsby /u/euronews-english on April 24, 2024 at 3:27 pm
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- Genetic analysis reveals H5N1 flu virus outbreak in cows likely started earlier than thoughtby /u/statnews on April 24, 2024 at 3:08 pm
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- Chocolate milk can stay in school lunch program, Biden administration decidesby /u/CBSnews on April 24, 2024 at 1:52 pm
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- See where abortions are banned and legal — and where it’s still in limboby /u/rytis on April 24, 2024 at 1:38 pm
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- Fragments of bird flu virus genome found in pasteurized milk, FDA says | The test cannot tell if the virus is live. The FDA still assess milk supply as safe.by /u/chrisdh79 on April 24, 2024 at 10:55 am
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Today I Learned (TIL) You learn something new every day; what did you learn today? Submit interesting and specific facts about something that you just found out here.
- TIL: Of the ~16 million Americans who served during WWII, there are around 119,550 who are still remainingby /u/today_okay on April 24, 2024 at 2:58 pm
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- TIL that all of the original "Mercury Seven" astronauts were the eldest or only sons of their family. All were raised in small towns & all were married w/ children. All were (white) protestants, and four were their fathers' namesakes. All had attended post-secondary institutions in the 1940s.by /u/abaganoush on April 24, 2024 at 1:53 pm
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- TIL piranhas are typically peaceful scavengers. Their reputation is based on a story from Teddy roosevelt. The local amazonians wanted to impress him and starved the fish for a week before feeding them a cow.by /u/UltimateOreo on April 24, 2024 at 12:26 pm
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- TIL that a Prime Minister's son begged for money. Ken'ichi Yoshida was son of Prime Minister of Japan Shigeru Yoshida. When they argued and father ended financial aid, Ken'ichi sat outside the International Press Club with a sign, "Prime Minister's son - penniless", forcing Shigeru to resume funds.by /u/TMWNN on April 24, 2024 at 11:52 am
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- TIL that the West Side of Saint Paul, Minnesota is south of downtown. The separate city of West St. Paul (note the spelling) is also south of downtown Saint Paul. East of West St. Paul is the also separate city of South St. Paul. There is also a separate North Saint Paul (note the spelling).by /u/TMWNN on April 24, 2024 at 11:32 am
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Reddit Science This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
- New research suggests psilocybin is safe and has similar side effects to traditional antidepressantsby /u/universityofga on April 24, 2024 at 3:12 pm
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- Consumption of certain food additive emulsifiers is associated with an increased risk of type 2 diabetes (cohort study of 104 139 adults, from May 2009 to April 2023).by /u/drhani on April 24, 2024 at 2:37 pm
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- New way to combat muscle loss during ageing: researchers found that the TP53INP2 protein could be key in the fight against sarcopenia as elevated levels of it in muscle are associated with increased muscle strength and healthier ageing in humansby /u/giuliomagnifico on April 24, 2024 at 2:26 pm
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- If a person has a high-quality, late-life environment, it can mitigate the negative impact caused by early-life stressors, a new University of Michigan study shows. Researchers determined this human outcome after analyzing data from more than 1,000 wild red squirrels in Canada.by /u/umichnews on April 24, 2024 at 1:53 pm
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- PFAS are widespread and more likely to be found in public water systems serving low-income communities and communities of color in New Jerseyby /u/NGNResearch on April 24, 2024 at 1:52 pm
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Reddit Sports Sports News and Highlights from the NFL, NBA, NHL, MLB, MLS, and leagues around the world.
- Steelers not expected to pick up Fields' 5th-year optionby /u/Oldtimer_2 on April 24, 2024 at 3:41 pm
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- NASCAR driver Erik Jones to miss Dover race because of broken lower vertebraby /u/Oldtimer_2 on April 24, 2024 at 2:58 pm
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- Eagles' Isaiah Rodgers reinstated by NFL after yearlong gambling suspensionby /u/Oldtimer_2 on April 24, 2024 at 2:57 pm
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- Marcel Hirscher is coming out of retirement. He plans to ski for the Netherlands, his mom's nationby /u/Oldtimer_2 on April 24, 2024 at 2:56 pm
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- World's First Sports Bar Dedicated To Women's Sports Expands With Investment From Reddit Founderby /u/reeseinthecity on April 24, 2024 at 2:14 pm
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