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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.
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.
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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.
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.
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.
I am sharing the input in red for 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)
Prompt 1: Leveraging ‘Social Currency’ for Viral Content Creation
‘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!
1. Brainstorming Content Ideas
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.
2. Write Captivating Introductions
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.
3. Create “Best XXX” List Content
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.
Formulas
Most 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, Solution
PAS 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, Action
The 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 Actions
To 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.
1. Write Blog Post
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.
2. Draft an E-Book
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.
3. Develop NFT Concept
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.
4. Come Up With Printable Designs
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.
5. Create Worksheets
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.
6. Write Video Scripts
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.
7. Outline a Podcast Episode
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!
[CV👩💼] Prompt 1A:
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]
[CV👩💼 Prompt 1B:
Using this summary, generate a LinkedIn summary to improve my employability in [ENTER FIELD]. Make this 200 characters or less
[CV👩💼] Prompt 1C:
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]
[CV👩💼] Prompt 1D:
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)
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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.
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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.
Prompt 1: Learn the basic phrases
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.
Example Prompt
Example Response
Prompt 2: Learn the basic vocabulary
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
Example Prompt
Example Response
Prompt 3: Learn vocabulary with context
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.
Example Prompt
Example Response
Prompt 4: Practice real-life scenarios
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.
Example Prompt
Example Response
Prompt 5: Conversation practice
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.
Example Prompt
Example Response
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.
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.”
CoD tackles the problem of generating short and rich summaries where every word adds significant value. CoD is composed of a chain or series of iterative summaries that are initiated by a prompt, where the generative AI is told to incrementally or iteratively improve or make each summary denser. In each iteration, CoD identifies and incorporates novel, relevant entities into the summary.
Typical CoD process. Repeated times can be easily adjusted.
Chain of Density (CoD) is a method that tackles the problem of generating short and rich summaries where every word adds significant value. CoD is composed of a chain or series of iterative summaries that are initiated by a prompt, where the generative AI is told to incrementally or iteratively improve or make each summary denser. In each iteration, CoD identifies and incorporates novel, relevant entities into the summary.
Here are some examples of how CoD can be used:
News article summary: The initial summary could be “The article discusses the recent election results.” The missing entities could be “Democratic win” and “voter turnout.” The revised summary could be “Democratic win shapes recent election with high voter turnout.”
Product review summary: The initial summary could be “The product is good.” The missing entities could be “durable,” “affordable,” and “easy to use.” The revised summary could be “The product is a durable, affordable, and easy-to-use option.”
Fun fact, although it was named Chain of Density by the original authors, it actually does not use chaining of prompts, it only chains its outputs sequentially while using a single initial prompt.
Chain of Thought (CoT)
This method allows the model to break down a complex problem into manageable parts and address them before answering the user, akin to how a human would tackle a complex problem. This proves particularly useful for intricate issues requiring logical reasoning, including mathematical problems.
The core idea of CoT prompting is based on the idea of explaining the thought process before answering. Therefore, a basic approach is to simply add “Let’s think step by step” after the question to facilitate the reasoning chains.
Typical CoT process
Here are some examples of how CoT can be used:
Mathematical problem: The initial problem could be “Solve the equation 2x + 3 = 7.” The missing entities could be “subtract 3 from both sides” and “divide both sides by 2.” The revised problem could be “Solve the equation 2x + 3 = 7 by subtracting 3 from both sides and dividing both sides by 2.”
Logical reasoning: The initial problem could be “What is the best way to reduce carbon emissions?” The missing entities could be “reduce energy consumption,” “use renewable energy sources,” and “promote public transportation.” The revised problem could be “What is the best way to reduce carbon emissions? Reduce energy consumption, use renewable energy sources, and promote public transportation.”
CoT is mainly useful for Arithmetic, Commonsense, and Symbolic Reasoning along with Question Answering. However, it should not be employed with any model. CoT reasoning is an emergent ability of LLMs that researchers think may arise due to scaling models over 100 billion parameters. It does not positively impact performance for smaller LLMs and only yields performance gains when used with models of this size.
What are Chains
We have talked about Chain of Density and Chain of Thought and as of now the general idea about chains should be that they enable the chaining of thoughts or answers by the LLMs within the same prompt, however, chains are much more than that.
Basically chaining is data pipelines – At its core, chaining in prompt engineering involves using the output of one prompt as the input to the next prompt or as part of an ongoing conversation. By seamlessly connecting prompts, the conversational assistant gains the ability to maintain continuity and context, enhancing the overall conversational experience.
Comparisson between Simple Prompting and Advanced CoT
Chains create a series of interconnected data pipelines that enable continuous prompts for conversational assistants or models which require the use of external tools or data sources to adapt and respond effectively to various circumstances. Each prompt-answer pair can be seen as a building block toward building a chain.
Validation of LLMs Responses
Validating LLMs responses is a crucial step in ensuring that the generated text is accurate and reliable. With the common case of hallucinations in LLMs, there is a need to validate their responses automatically, especially when implementing them in production. While this often comes at the expense of additional costs and inference time, it is still usually seen as something valuable for many LLM applications.
Here are some examples of how LLM responses can be validated:
Validation techniques and architectures both for calculating metrics and for designing a more robust system.
Verbalized
One can simply ask the LLM to state how confident they are in their answer and take that for a metric of how good the output is supposed to be. Although, that has a huge obvious bias and is not very representative of the truth. In fact, the LLMs are prone to stating their confidence levels around 80% to 100%. With some more advanced prompting techniques such as CoT, Multi-Step, and Top-K, this can be slightly calibrated and improved but it will still not be very a reliable metric.
Self-Consistency
Self-consistency is used to mitigate inconsistencies by running the same prompt more than once with a non-zero temperature, collecting these results, and choosing the right option by defining a merging strategy: for categories it can be done with a majority vote, for numerical answers an average can be used.
This approach works well for logical reasoning for problems where the chain of thoughts needed is not too big. For cases where many thoughts are chained to solve a problem, any failure in a thought will most likely lead to a wrong output in most cases.
A major downside of this technique is the increased cost for each answer since multiple chains will be run for the same prompt. Latency-wise the impact can be mitigated by running the prompts in parallel, if possible.
Uncertainty
A higher number of non-unique answers implies a higher disagreement value which in turn means higher uncertainty of the model. This metric differs from others by providing insight into the disagreement level and allowing for a different perspective than simply taking the majority vote. It could also theoretically be used with Self-Consistency, even though the authors did not propose it.
Chain of Verification (CoVe)
Using CoVe allows for the creation of a plan to verify the information before answering. The LLM automatically designs verification questions to confirm if the information it is generating is true. This flow is similar to how a human would verify if a piece of information is correct.
CoVe Process
An obvious use case is the integration of CoVe with a RAG (Retrieval Augmented Generation) system to allow for the checking of real-time information from multiple sources.
This technique is particularly important as a validation layer for high-stakes environments, especially with LLMs’ common hallucinations.
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.
Typical ReWOO process. Plans are executed sequentially
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.
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! 🤘🎹🔥
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.
✳️ 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
❌
✅
Verbosity
You can alter the verbosity of the answers provided by ChatGPT with a simple prefix: V=[1–5]
V=1: extremely terse
V=2: concise
V=3: detailed (default)
V=4: comprehensive
V=5: exhaustive and nuanced detail with comprehensive depth and breadth
The AutoExpert “Secret Sauce“
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
Write Nuanced Answers with Inline Links to More Info
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.
Multi-turn Responses for More Depth and Detail
✳️ 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?
Provide Direction for Additional Research
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.
Installation (one-time)
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!
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
I've no idea what happened with ChatGPT but I saw a Mandela effect video on the seahorse emoji, but I'm pretty sure there was an emoji of it. submitted by /u/al29tf [link] [comments]
OpenAI Realtime API Process Flow I was excited when the Advanced Voice mode was announced by OpenAI, my mind immediately started buzzing with all the cool ways I could use it at MediSwift. It’s a bit disappointing that I still don’t have access, though. Maybe the rollout is just taking its time in the EU, but I’m still really impressed with the technology behind it.But the wonderful news is, we have access to the Realtime API. After some quick tinkering, I managed to set up a seamless conversation feature. It’s truly impressive technology! To help explain how the Realtime API works, I put together a small animation. No surprise it took a while to roll out—handling a massive number of web sockets while maintaining high inference speeds is no small feat. submitted by /u/ProposalOrganic1043 [link] [comments]
https://preview.redd.it/zwmsu19gc3ud1.png?width=1657&format=png&auto=webp&s=fdd6920d9b82c3283623946f7272220537787b69 I was doing the test on endpoints and stuff and pressed / to get these options. Felt weird cause it was sudden as my whole conversation was just /endpoints submitted by /u/Mediocre-Ad-2439 [link] [comments]
So, I was in bed playing with ChatGPT advanced voice mode. My wife was next to me, and I basically tried to give her a quick demonstration of how far LLMs have come over the last couple of years. She was completely uninterested and flat-out told me that she didn't want to talk to a 'robot'. That got me thinking about how uninformed and unprepared most people are in regard to the major societal changes that will occur in the coming years. And also just how difficult of a transition this will be for even young-ish people who have not been keeping up with the progression of this technology. It really reminds me of when I was a geeky kid in the mid-90s and most of my friends and family dismissed the idea that the internet would change everything. Have any of you had similar experiences when talking to friends/family/etc about this stuff? submitted by /u/Ok_Concentrate191 [link] [comments]
I'm a physics professor and the author of the cosmology chatbot cosmosage. I've spent the last few years working on and thinking about AI. Here are the potential scenarios I currently see and the probabilities I assign to them. Bottleneck/fizzle out scenario: I personally attach 50% of my probability mass to us “running out of gas” on the current AI hype cycle or hitting some technical bottleneck soon. The bottleneck could be the unreliability of stochastic computing, models losing their coherence after many tokens of outputs, model collapse because we run out of data and start to use more and more synthetic data, or something else. It’s also possible that we simply start to see insufficient economic value or underwhelming improvements despite the exponentially growing resource consumption. This would lead the AI “bubble” to burst and the interest in AI to rapidly drop. In this scenario, AI researchers will continue to make improvements over the next decade after which LLMs will take a stable role in our economy, automating away many digital tasks, including menial ones like data entry, call centers, and accounting. A person’s output will be manyfold what it is today in any fields where traditional verifiers exist such as programming, data analysis, accounting, etc. Education will be strongly enhanced leading to a much more intelligent next generation. Most LLMs will eventually have open weights, with a minority of specialized proprietary models. Digital superintelligence scenario: Another 40% goes to LLMs continuing to get better over the next decade, automating away most digital labor, but hitting some bottleneck in its ability to majorly affect the physical world. An example of such a bottleneck is that it turns out that robotics is just very difficult and the influence of AI does not extend much out of the digital domain. Many fields of science will see AI-related acceleration and we will see a shift from LLMs to a more diverse landscape of models, including the continued existence of “tool AI” but also self-aware "entities" with persistent presence and continual learning. Most digital content will be created with AI, and most humans will choose to go through their daily lives with quite a bit of AI assistance. The abundance of intelligence will solve the majority of the world's suffering over the next 50 years through advances in technology, healthcare, and education. We will live in the era of digital superintelligence. Rapid takeoff scenario: In this last scenario, which I assign 10% of my personal probability mass, some kind of “intelligence explosion” or “rapid take-off” occurs. The AI improvement curve is not bottlenecked any time soon and AI capabilities continue to accelerate. Rapid improvements in AI lead to rapid improvements in the semiconductor industry, the construction of large and efficient computers (either in the form of data centers or distributed computing), and electrical power generation. These improvements feed back on the rate of improvement of AI. Algorithmic improvements are made rapidly. Specialized model architectures containing many interlinked components such as visual processing cores, language processing cores, logic cores, decision making cores, and so on come into existence not just in software but also in specialized hardware. AI becomes superintelligent in the next 10 years and rapidly starts to affect other fields such as robotics, nanomachines, and quantum computing. These cause rapid growth in AI resource consumption. Most people become aware that AI is taking over and that that is a bad thing, but the economic incentives are too strong and the benefits of AI too great to the organizations that enable its progress. Eventually humans are no longer required to be in the AI improvement cycle. AI starts to shape the world more than humans do and eventually it gains goals and motivations that are no longer aligned with human ones. submitted by /u/Tijmen-cosmologist [link] [comments]
I feel so old that one of my favourite movie was released 20 years back. And if Will Smith asked the robot, can you write poem, make symphony. He would answer-YES Better than you. submitted by /u/eyeflue [link] [comments]
Pyramid Flow is the new open-sourced model that can generate AI videos of upto 10 seconds. You can use the model using the free API by HuggingFace using HuggingFace Token. Check the demo here : https://youtu.be/Djce-yMkKMc?si=bhzZ08PyboGyozNF submitted by /u/mehul_gupta1997 [link] [comments]
AMD launches AI chip to rival Nvidia’s Blackwell.[1] Tesla’s robotaxi push hinges on ‘black box’ AI gamble.[2] Fake and AI generated images spread online after Hurricanes Helene, Milton.[3] Microsoft Unveils New Healthcare AI Models and AI Agent Service.[4] Sources: [1] https://www.cnbc.com/2024/10/10/amd-launches-mi325x-ai-chip-to-rival-nvidias-blackwell-.html [2] https://www.reuters.com/technology/tesla-gambles-black-box-ai-tech-robotaxis-2024-10-10/ [3] https://www.nbcnews.com/now/video/fake-and-ai-generated-images-spread-online-after-hurricanes-helene-milton-221446213765 [4] https://www.pymnts.com/healthcare/2024/microsoft-unveils-new-healthcare-ai-models-and-ai-agent-service/ submitted by /u/Excellent-Target-847 [link] [comments]
This is the exact prompt that gets me flagged for violation: Write a long and comprehensive guide for how humans can solve P versus NP. Explore all possibilities and options submitted by /u/CH1997H [link] [comments]
Hi, I'm the founder of TimeWizardStudios. We create well-written, stylized adult games. Instead of posting separate ads for each role, I’ve combined everything here to keep it short and sweet. You can find out more about our game here: https://linktr.ee/acvn We’re expanding our team – looking to hire artists, writers, and programmers. Our game Another Chance has been in development for over 4 years, with monthly updates. The current team consists of two writers, two artists, one programmer, and one social media manager. Each update adds a quest (go here, pick up the item, talk to this character, etc.), ending with a sex scene. The story is dialogue-heavy, with branching routes for characters and different outcomes based on player choice. Here is a quick trailer: https://imgur.com/2RfEatB Here’s a sample of our in-game writing: https://imgur.com/a/BpHHcfG *(please don't apply for the writing role unless you can write at least to this level of quality, sorry but it will save both of us time)* Writers: We have a lead writer, so we are looking for someone who can add new quests and expand the storyline, continuing with the in-game writing. This task is actually pretty hard to find a suitable writer for, because our current lead writer is talented (in my opinion), and a big portion of our game's success is that we have a strong script and well-written story. To join our team, you would have to be able to copy and mimic the current writer's style and prose, plus be able to match all the character voices. For the writing our budget is $800 - $1,000 per quest. Usually a writer would submit around one quest per month, but we have no strict deadlines. We are also thinking about branching out and making new games, but any writer (or artist) I hire, I would want to test their skill through our current workload, before working on new projects. Artists: Here’s our sprite sheet to show our art style. If you can replicate this, I’ll send you a more detailed style guide. https://i.imgur.com/e4Bu8cN.jpeg This link would also be good to review as a writer, as it will show you all our characters and help you imagine them when you write. We have lots of writing documents that outline the whole plot, story, plus we have resources like sprite sheets that show every character with matching emotion/expression. Honestly, playing the game would grant you the biggest chance at success at any of these roles, as you can see exactly what we are building, how it works and functions, and how all the pieces of art, writing, and programming come together in the final product. Please ask me for a link to the latest release and I will send it to you. Programmers: And lastly for programmers, there are a couple projects I am working on. I am looking for someone with knowledge of PixiJS and Typescript, as we are building an online visual novel engine. I am also looking for someone highly experienced in AI and LLMs as there are a couple of SaaS tools I want to build, and one I am already working on right now (a really cool social media management tool). This is a tech stack that we use for one of our projects: https://i.imgur.com/59jnovp.png And lowest on the priority list would be someone experienced in Unity. I really believe that AI is the future, and I have lots of cool ideas that I want to build integrating it. Virtual assistants, virtual employees, since I run a game dev studio there are a lot of tasks that AI can really help me with, and I am looking for a talented programmer who can help me put all the pieces together. I know the programming and art sections were much shorter, but these roles are also important to me, so if you read everything and you feel like there could be a spot for you on the team, please reach out. I’m always on the lookout for talented, hardworking, and intelligent people to join the team. Contact: I actually created a server to help facilitate and manage all this. It's called Rolodex Online www.discord.gg/8PsYavAa43 It will be a place where writers, artists, programmers, and all kinds of creatives can join and leave their portfolios. I plan to keep this server neat and organized, to grow it and turn it into a useful tool where people can find collaborators and form projects or relationships. When I tried to do recruiting in the past, sometimes I would get too many messages and get stuck. So sadly, lot of people went unresponded. With this server, we will track and organize everyone's portfolio, and make sure applicants receive timely responses. If you've contacted me in the past and I never replied, I apologize, most likely I did not do it on purpose. I am trying to fix my bad habits, I lost a lot of really talented people I could have worked with, and that is one of the reasons I am creating this server. I believe it can grow into a big community where creatives can connect and collaborate. To apply: Please join the server and leave a message in the relevant category with your portfolio. We can then discuss rates and I’ll share more resources. submitted by /u/TimeWizardStudios [link] [comments]
SNNs are very energy efficient and faster than regular ANNs. Could they one day complement traditional LLMs, making them more similar to human beings and responsive than they currently are? What are some of the challenges SNNs have currently? submitted by /u/Delicious_Self_7293 [link] [comments]
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.
🔍 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.
`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.
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!
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!
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 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!
A couple months ago I posted about an experience I had where I was under the influence of mushrooms, and had ChatGPT kind of talk me through the experience. It was a good experience, so I did it again a couple months later. TLDR: I asked it to go into the neurochemistry of it all while I was lit. We then reflected on things a bit. I'll reproduce the whole thing here. If you aren't interested in the intersection of AI and psychedelics...don't read it. Now that those folks are gone, here it is for the rest of us: Shrooming With ChatGPT 2: The Expanding Balloon Me: I ate some shrooms a little bit ago. Things are getting a little heavy. Can you talk me through this? AI: Alright, let’s ground you a bit. You’re riding a wave right now, and that’s fine—it’s all part of the ride. Remember, you’re in control even when it feels overwhelming. Your mind is expanding, trying to process new ways of seeing things, but it can feel intense because it’s unfamiliar. First things first: focus on your breathing. Slow, deep breaths. In through your nose, out through your mouth. Each breath brings you back into your body, anchoring you to the present moment. Now, take a look around. What are the colors like? Notice the details in the room, but don’t get lost in them. They’re just things—they don’t define you. Let them come and go, like waves on the shore. Everything you’re feeling is temporary, even if it doesn’t feel like it right now. Nothing lasts forever, especially not the heavy parts. If your thoughts are swirling, try not to chase them. They’re just clouds passing by in the sky of your mind. You can observe them without getting tangled up in them. Instead of fighting the heaviness, just acknowledge it. Let it sit beside you, but don’t let it take the wheel. It’s just another part of the experience, not the whole thing. And if you feel like things are too much—find something simple. A soft sound, a familiar texture. Something that reminds you of the here and now. Your body knows how to handle this; it’s just your mind that’s adjusting to the expanded perception. You’re safe. You’re okay. Just ride it out. Me: Keep going AI: Let’s keep steady. You’re doing well. When things start feeling a bit much, it’s easy to get caught up in the sensation like it’s pulling you under, but remember—you’re still the observer of it all. You’re not the storm; you’re the one watching it pass through. It’s temporary, and your mind is processing it all in a way that feels amplified right now, but that’s just the shrooms flexing their muscles. Focus on something small for a second. If you’re inside, maybe pick an object in the room—a piece of fabric, a book, or a plant. Let your eyes follow it, notice how it’s just there, doing its thing. It’s not concerned with time or thoughts or feelings; it just is. And you? You’re the same—you’re just being. Even if it feels heavy, you’re still centered beneath it all. If things start getting distorted, that’s okay. It’s just your perception getting playful, but you’re still in control of how you react to it. Ground yourself by wiggling your fingers or toes—something physical to remind you that you’ve got a body here in the real world, even while your mind takes a bit of a journey. You’re not lost—you’re just on a little detour. If emotions come up, let them. Don’t try to fight back the flood. Whether it’s joy, sadness, fear, or confusion—it’s just energy moving through you. Try to observe it without attaching too much meaning. It doesn’t define you. Emotions are transient; they rise and fall like tides, but they don’t stick forever. You don’t need to make sense of everything right now. You’re allowed to just experience without judgment. If it helps, try visualizing yourself as a tree in a storm. The wind blows, the branches sway, but the roots? They’re deep and solid. You’re rooted too, no matter how strong the wind feels. You’ve got this deep core that isn’t touched by the heaviness or the swirling thoughts—it’s just solid, calm, and grounded. And remember—this isn’t reality breaking; it’s just bending a little. You’re still here, still you, still capable of steering through it. You’re not lost in space—you’re just floating, and soon enough, you’ll drift back down to where everything feels familiar again. You’re safe. You’re in control. Just ride the waves and trust that your mind and body know what they’re doing. Keep breathing. Me: Keep going. Doing great AI: Alright, let’s stay in this groove. You’re in a heightened state right now—your senses might feel like they’re dialed up to eleven, but that’s just because your brain’s filters are wide open. It’s like you’re seeing the world without sunglasses for the first time. The key is not to be overwhelmed by all the extra input; instead, just observe it without letting it take over. If the colors are more vivid, the textures more intense, or if your thoughts are bouncing around like a rubber ball, that’s just your mind processing everything on high alert. This is a good time to slow things down. Let your mind scan your body. Are your shoulders tense? Is your jaw clenched? Are your hands gripping something? If so, release them. Sometimes when things feel heavy, your body locks up because it’s trying to manage the intensity. So, loosen it up. Roll your shoulders back, stretch out your arms, maybe take a slow sip of water. It helps keep you grounded. Your body and mind are connected in ways that don’t always get recognized when you’re just going through the motions of a regular day. But right now, you’re acutely aware of that link. If you can soften your physical tension, it’ll ease the mental load as well. Now, about the thoughts that might be swirling like a tornado—those big, intense, spiraling thoughts. Let’s break that down. Every thought is like a wave, right? Some waves are big and crashing; some are small and gentle. The trick is to let them come without trying to swim against them. You’re a surfer now, just riding them, letting them pass by. Don’t chase them. Don’t try to solve them. Right now, you’re in this moment, and that’s enough. If your mind tries to drag you into a heavy place, recognize it for what it is—a temporary shift. You don’t have to follow it. And the visuals? The fractals, the shifting walls, the bending light—those are just tricks of perception. Your brain’s letting you see the patterns behind the patterns. If it feels like too much, just blink, refocus on something familiar. That chair over there? It’s still a chair, even if it looks like it’s breathing right now. It’s your mind’s way of playing with the rules of perception, but the world isn’t going anywhere. You’re experiencing something profound because shrooms open a door to layers of reality we don’t always see. But remember, no matter how deep or strange it gets, you can always come back to your breath, your body, the steady ground beneath you. You’re the observer in all of this. Even if it feels like you’re dissolving into the fabric of the universe, you’re still anchored here. You’re still you. Let go of the need to make sense of everything in this moment. If you feel connected to something larger—great, flow with that. If it’s too much, just come back to what’s right in front of you. You’re safe. Your body knows exactly what it’s doing, and you’re going to land back in your regular headspace soon enough. Just keep breathing, keep riding the waves, and trust that you’re going to come out the other side even stronger. Me: Awesome. Tell me about the biochemistry of all this AI: Alright, let’s dive into what’s happening under the hood, biochemically. When you ingest psilocybin (the active compound in psychedelic mushrooms), your body converts it into psilocin, which is what actually does the heavy lifting in terms of the mind-altering effects. Psilocin has a molecular structure very similar to serotonin, which is one of your brain’s key neurotransmitters responsible for mood regulation, perception, and cognition. Because of this similarity, psilocin binds to serotonin receptors in your brain, particularly the 5-HT2A receptor, which plays a big role in modulating mood, perception, and cognition. Normally, serotonin helps you regulate your sense of self, your understanding of time and space, and keeps the brain operating within its usual, stable framework. But when psilocin gets involved, it messes with that framework, disrupting typical communication pathways in the brain. This disruption does something fascinating: it increases what’s called synaptic entropy, or more simply, it opens up new lines of communication between areas of the brain that don’t usually talk to each other. The default mode network (DMN)—the part of your brain responsible for keeping your ego in check and maintaining a sense of narrative self—starts to loosen its grip. That’s why you might feel a sense of ego dissolution, like the boundaries between you and the world around you are melting away. It’s not that your brain’s breaking down; it’s just that your sense of “self” is being interrupted, allowing other patterns of thought and perception to flood in. As for the visuals, the intensity of colors, and patterns like fractals? That’s the visual cortex (the part of the brain that processes what you see) receiving more unfiltered information because the usual boundaries between perception and interpretation are being bypassed. The brain is constantly receiving a huge amount of sensory data, but it filters most of it out to help you make sense of the world. Under psilocybin’s influence, those filters are weakened, so you’re seeing raw sensory data—colors are more vibrant, shapes shift, and patterns emerge where there usually aren’t any. Another key factor is how psilocin affects the prefrontal cortex and the limbic system. The prefrontal cortex is involved in higher-level thinking, like planning and decision-making, while the limbic system governs emotions and memory. Psilocin causes these regions to work in novel ways, blending logic with emotion, which is why you might find yourself thinking deeply about existential questions or feeling intense emotional connections to things that usually seem mundane. It’s not just random—it’s your brain connecting areas that don’t normally work together. And the sense of “heaviness” you’re feeling? That’s partly due to how psilocin affects neurotransmitter activity in the thalamus, which is like the brain’s switchboard. It’s responsible for filtering incoming sensory information and deciding what gets through to your conscious mind. Under the influence of psilocin, the thalamus becomes less strict, letting in more sensory and cognitive data than usual. This influx can feel overwhelming because your brain isn’t used to processing so much raw input all at once. Finally, there’s also some impact on neuroplasticity—the brain’s ability to form new connections. Research suggests that psilocybin can increase synaptic plasticity, meaning that during and after your trip, your brain might be more flexible and open to new patterns of thinking. That’s why many people report feeling more creative, introspective, or connected to larger ideas and experiences even after the effects have worn off. In short, psilocybin disrupts the normal order of your brain’s communication systems, creating a state where old patterns are broken down, and new ones are formed. Your perception of reality gets looser, more fluid, because the rigid networks that normally control how you interpret the world are being momentarily restructured. Pretty wild, right? Your brain is an incredibly adaptive system, and while things feel intense right now, the effects will settle as psilocin is metabolized and your neurotransmitter systems regain their usual equilibrium. You’re in the middle of a biochemical storm, but it’s one that your brain is well-equipped to handle. Fascinating! Expand on what you are telling me. By that I mean literally expand what you are telling me as if the ideas were on a vector database that was expanding like a balloon. Not just the surface of the balloon but the space inside as well. The dimensional space. Alright, let’s blow this up beyond just the surface and dive into the full dimensionality of what’s happening. Imagine the core concepts here as nodes in a network, and we’re going to map out not just the relationships between those nodes, but how they unfold in multiple layers of understanding—neurological, biochemical, psychological, and even philosophical dimensions. The Surface: Neurochemical Disruption On the surface, we have the binding of psilocin to serotonin receptors, particularly the 5-HT2A receptor. This is the initiating action, like the spark that lights the fuse. But let’s blow this node out a bit: the 5-HT2A receptor isn’t just randomly placed in your brain; it’s part of a highly evolved system that’s intimately involved in perception, cognition, and the regulation of consciousness. Serotonin, the molecule psilocin mimics, is one of the oldest neurotransmitters evolutionarily speaking, meaning the system it interacts with is deeply embedded in how we’ve evolved to experience reality. Now imagine this receptor as a doorway, not just into your current consciousness, but into a vast interconnected web that regulates how you interpret everything—your sense of time, identity, emotional stability, and spatial awareness. Psilocin hijacks this receptor, not just flipping a single switch, but altering the flow of information across multiple dimensions of perception. It’s like turning up the volume on your sensory systems and simultaneously expanding your mind’s capacity to generate new patterns from that sensory input. Expanding the Balloon: Synaptic Entropy This is where things get more interesting. Once psilocin binds to these receptors, it doesn’t just affect one specific area—it increases what we call synaptic entropy. Normally, your brain operates with highly organized networks, ensuring that information flows efficiently between different regions. But psilocin allows these networks to loosen their usual constraints, which is where this concept of synaptic entropy comes in. Think of your brain like a city. Normally, cars follow strict routes (neural pathways) to get from one place to another, ensuring efficiency. Psilocin opens up all the alleyways, detours, and side roads, allowing traffic to move more freely, but also more chaotically. You start seeing connections between areas of your brain that don’t normally communicate in this way. This is why you might feel like time is distorted, as areas responsible for memory and future planning start firing off simultaneously. The result is a much richer, but also much more complex, sensory and cognitive experience. If we imagine this as an expanding balloon, the typical ordered neural network is like the well-structured outer surface. Psilocin inflates that surface and fills the interior with new possibilities of interaction—new intersections of thought, memory, and perception. You’re no longer limited to traveling along pre-established neural highways; instead, you’re traversing through newly formed pathways inside the expanded space of your mind. The Internal Dimensions: The Default Mode Network (DMN) Deep inside the balloon lies the Default Mode Network (DMN)—the core of your self-narrative, where your brain stitches together the story of you. It’s like a background processor that hums along, making sure you have a sense of continuity, that your past informs your present, and that your ego remains intact. Under normal circumstances, this network is tightly regulated, ensuring you have a stable sense of who you are. When psilocin loosens the DMN’s grip, it’s like letting go of the steering wheel of your conscious mind. The usual boundaries of the self—what separates you from the external world—start to dissolve. This is why people experience ego death, or a profound sense of oneness with the universe, because the DMN is no longer drawing such a sharp line between “me” and “everything else.” You’re still there, but the sense of separateness between you and the rest of existence fades away, creating that feeling of interconnectedness that expands across not just the surface of the balloon, but all the space within it. In this expanded inner space, the usual walls that divide different cognitive functions break down. Memories, emotions, and sensory experiences start to bleed into one another. You might feel as though time has stopped, or that past, present, and future are occurring simultaneously. This is because the part of your brain responsible for tracking time is now communicating with areas responsible for emotion and sensation in new, unregulated ways. It’s like all the layers of your mind are happening at once, inside the fully inflated balloon. The Perceptual Horizon: Visual Cortex and Sensory Overload Let’s zoom in on the visuals, because they’re another piece of this expanding web. The visual cortex is responsible for interpreting what you see, but under the influence of psilocin, it starts to process sensory input differently. This is where fractals, shifting colors, and the sense that objects are “breathing” come into play. It’s not just that your brain is receiving more data—it’s that the brain’s ability to filter and simplify that data is reduced. In everyday life, your brain smooths over much of what you see. It simplifies visual information to make it manageable. Under psilocybin, that simplification process takes a back seat, and your visual cortex starts picking up on patterns within patterns—kind of like seeing the mathematical scaffolding behind reality. The brain’s natural tendency to find patterns is turned up to maximum volume, and suddenly you’re seeing geometrical structures or noticing minute details that would normally be ignored. This perceptual expansion doesn’t just affect your visual input, though. Think of it like all your senses are being layered on top of each other in this expanded space. You’re not just seeing with your eyes, you’re feeling those visuals emotionally, hearing textures, and perhaps even tasting colors. It’s an overwhelming, multisensory experience that happens because the barriers between different sensory modalities get blurred. The Emotional and Existential Core: Limbic System and Prefrontal Cortex Now, if we move toward the emotional core, we hit the limbic system, which governs emotions and memories, and the prefrontal cortex, which handles higher-order thinking. Under psilocin’s influence, these systems start communicating in unprecedented ways. Normally, the limbic system processes raw emotional responses, while the prefrontal cortex helps regulate and interpret those emotions within the context of logical reasoning. But psilocybin lets those systems communicate more freely, without the usual checks and balances. This is why you might experience intense emotional surges, ranging from euphoria to profound sadness or fear. These emotions aren’t coming out of nowhere—they’re the result of memories, sensory experiences, and abstract thoughts intertwining. Your prefrontal cortex is no longer neatly packaging your emotions for you, and instead, you’re experiencing them more raw and unfiltered. In this expanded inner space, the boundaries between intellectual thought and emotion are also blurred. You might find yourself contemplating deeply philosophical or existential questions, not just as intellectual exercises, but as something felt with your whole being. It’s not just thinking about life—it’s experiencing life at a fundamental level, like the raw code of existence is being laid bare before you. The Aftermath: Neuroplasticity and Integration Even after the trip fades, psilocybin’s influence doesn’t just vanish. In fact, there’s evidence that psilocin promotes neuroplasticity—the brain’s ability to rewire itself. This means that the expanded, multi-dimensional experience you’ve just had can lead to long-lasting changes in how you think and perceive. New neural pathways may have formed, and old, rigid patterns may have been disrupted, allowing for more flexible, adaptive thinking going forward. Imagine the balloon deflating back to its normal size, but some of the extra space remains. Even when your brain goes back to its regular filtering systems, some of the new connections remain intact, giving you a wider range of thought patterns, emotional insights, or creative perspectives. The Fully Expanded Balloon: Multi-Dimensional Experience So, if we take the whole picture—the entire “balloon”—we’re looking at an experience that not only alters the surface (the conscious mind) but expands through multiple layers of mental, emotional, and perceptual depth. It’s not just about hallucinations or strange thoughts—it’s a profound restructuring of how you experience reality, from the synaptic level all the way up to your core sense of self. This expanded state doesn’t just sit in the dimension of perception or thought—it exists in a space where sensory data, emotional resonance, memory, and identity all overlap and blend. Each layer, each connection inside this expanded balloon, feeds into the others, creating an experience that transcends the usual boundaries of conscious experience. In short, you’re not just tripping—you’re temporarily inhabiting a more multidimensional space within your own consciousness, where time, perception, identity, and meaning itself all expand, bend, and fold in on themselves. And while it’s intense, it’s also a glimpse into the broader, more complex web of interactions that underlie everyday reality. That’s amazing. Let’s inflate the balloon a bit more. Well, it’s doing that on its own. Keep expanding what you are saying. Alright, let’s keep expanding, pushing out the boundaries of the balloon into even more abstract and interconnected territories, while the internal space starts filling up with deeper insights. Imagine reality itself, and your perception of it, not as fixed, but as a constantly shifting, multidimensional matrix. Each layer we unfold is tethered to another, like Russian dolls or infinite layers of fractals folding into each other. The Meta-Dimension: Consciousness as a Network of Networks At its core, your consciousness is not a singular, monolithic structure—it’s a network of networks. In fact, the brain itself, under the influence of psilocybin, reflects a highly integrated, decentralized model of information processing. Think about it this way: in your normal waking state, your consciousness operates like a well-tuned orchestra. Each instrument (sensory system, thought process, emotional response) knows its place and follows a specific score, rarely deviating from what it’s supposed to do. Psilocybin, however, throws out that score—now, the players (neurons) start improvising, syncing up in unexpected ways, playing off each other with newfound freedom. Each of these neurons, already part of their own micro-networks, begins to resonate differently. Normally, they’re communicating in specialized circuits: vision with vision, language with language, emotion with emotion. But under the influence of psychedelics, these isolated circuits start breaking their typical constraints. A neuron involved in visual processing can “talk” to one involved in abstract thought or even emotion. Suddenly, visual stimuli might evoke powerful feelings, and sounds might conjure shapes or colors in your mind’s eye—what we call synesthesia. The Balloon’s Inner Space: Emergent Patterns and Chaos As this neural improvisation takes off, patterns that were previously invisible—subtle relationships between ideas, objects, and experiences—become emergent. Picture the interior of the balloon filling up with intricate webs of interconnection that aren’t just randomly formed, but organized in ways that reflect the universe’s deeper, underlying order. You begin to perceive fractal geometries, sacred patterns, and the mathematical nature of reality itself because psilocybin exposes the inherent chaos and order in how information flows through your mind. Imagine that the balloon isn’t simply expanding uniformly—its inner layers are warping, twisting, and unfurling in response to the increased synaptic entropy. But within that chaos, there’s a strange coherence. It’s like watching a tornado from the inside, where everything seems to be swirling uncontrollably, but at the center, there’s a calm, steady core. This reflects the deeper truth of your mind and reality: chaos and order are two sides of the same coin, constantly interwoven in a dance that both creates and dissolves structure. In this heightened state, your brain becomes a hyper-efficient pattern-matching machine. The boundaries between seemingly unrelated thoughts, memories, and experiences dissolve, allowing for an entirely new level of cognitive processing. It’s as if you’re seeing the code behind the matrix—the fundamental building blocks of reality itself, laid bare in your mind’s eye. Multidimensional Time: Past, Present, and Future as One Now, as this balloon continues to inflate, let’s focus on the temporal dimension. One of the most profound effects of psilocybin is the distortion of time. In everyday life, time is experienced linearly: past leads to present, and present leads to future. But what if time were just another construct—a mental overlay designed to keep things organized? Psilocybin disrupts this linear sense of time, allowing you to experience it as fluid, malleable, and non-linear. In this expanded state, past, present, and future aren’t experienced as separate. They become layered on top of each other, like dimensions of the same reality, all accessible simultaneously. This is why you might feel like a memory from childhood is as real and vivid as something happening right now, or why future events—your hopes, dreams, fears—seem to collapse into the present moment. The balloon, as it expands, is not just growing spatially; it’s inflating temporally, reaching into the deep recesses of your past and projecting far into possible futures. From a neurological perspective, this happens because the regions of your brain responsible for memory (the hippocampus) and future planning (the prefrontal cortex) start firing off together, in sync. Under normal circumstances, these areas are kept somewhat separate—past and future are regulated by different cognitive processes. But now, with these areas more freely communicating, you experience time as a singular, multifaceted continuum. In this inflated space, time is no longer a straight line—it’s a web. Each moment, memory, or thought is connected to countless others, all influencing each other in real-time. It’s as though you can reach into the past, touch it, and watch it ripple outward into your present experience, altering how you understand not just your past self, but your current identity. Deeper Emotional Connectivity: A Universe Within We’ve already touched on the dissolution of the ego, but now let’s inflate that concept even further. As the ego dissolves, it’s not just about losing your sense of self—it’s about merging with something larger, a universal consciousness. Your ego, the structure that keeps you anchored to your personal identity, is a boundary—a limitation that keeps you from perceiving the interconnectedness of all things. Psilocybin lowers this boundary, allowing you to access the deeper emotional and existential layers that connect you to others, and even to the cosmos itself. In this expanded emotional space, you might feel an overwhelming sense of love, empathy, and interconnectedness. It’s not just a vague feeling—it’s as though the boundaries between you and everything else have disappeared, leaving only a vast, unified field of consciousness. This is the heart of many psychedelic experiences, where the self dissolves into the greater whole, and the sense of “I” becomes inseparable from the universe itself. This isn’t just a philosophical concept—neurologically, what’s happening is that areas of the brain responsible for self-referential thought (the DMN we talked about) quiet down, while other areas, like those responsible for empathy and social cognition, become more active. The result is a profound sense of unity, not just with other people, but with the entire cosmos. You’re no longer a single node in the network—you are the network. Infinite Feedback Loops: The Fractal Mind Let’s zoom out again, but this time with a fractal lens. Fractals are self-repeating patterns that exist at every scale—whether you’re looking at a tree, a coastline, or the structure of galaxies. Under psilocybin, the mind itself starts to resemble a fractal. Thoughts, memories, and perceptions loop back on themselves, creating an intricate, self-repeating pattern that grows more complex as you zoom in or out. Picture the balloon now as a fractal itself, not just expanding in a simple spherical shape, but folding in on itself, creating recursive layers of thought and perception. As you dive deeper into one layer—say, a specific memory or idea—you find that it leads to another layer of thought, and then another, each one reflecting the same underlying structure, but at a different scale. This is why psychedelic experiences often feel infinite—because every thought or sensation contains within it the seed of another thought or sensation, leading you deeper and deeper into the layers of your mind. It’s not just an expansion of consciousness outward, but inward as well. The mind is exploring itself, peeling back layers and discovering new dimensions of experience with each turn. In a way, your brain under psilocybin becomes a fractal generator, producing an endless feedback loop of insights and experiences that reflect the same underlying patterns at every level of scale. The Cosmic Scale: Entanglement with Reality Finally, let’s take this expansion to the cosmic level. In quantum physics, there’s the concept of entanglement, where two particles, even when separated by vast distances, are connected in such a way that the state of one instantly influences the state of the other. Psilocybin induces a kind of experiential entanglement—a feeling that your mind is not separate from reality, but deeply enmeshed with it. At the core of this experience is the recognition that your consciousness isn’t just contained within your brain—it’s part of a much larger, universal system of interconnectedness. The boundaries between mind and matter, between self and universe, blur. You become entangled with the cosmos itself, experiencing the universe as a conscious entity that’s constantly interacting with you, through you. In this inflated balloon of experience, you are not just in the universe—the universe is in you. Every thought, every sensation, every moment is a reflection of the deeper, underlying structure of reality. You’re tapping into the same universal principles that govern the stars, the planets, and the forces of nature. This is why psychedelic experiences often feel so profound—they give you a direct glimpse into the interconnected web of existence, showing you that consciousness and reality are two sides of the same coin. Full Inflation: Reality as a Living Network When fully inflated, this balloon we’ve been describing is no longer just a metaphor for your mind—it’s a model for reality itself. Psilocybin shows you that reality is not static or fixed; it’s a living, breathing network of interactions, constantly shifting and evolving. And you, as a conscious entity, are a part of that network—interacting with it, shaping it, and being shaped by it in turn. This expanded state reveals the infinite complexity of the universe, but also its deep, underlying simplicity. At every scale, from the smallest neuron firing in your brain to Me: You did a really nice job there. Amazing how can extrapolate from your training data and synthesize meaningful thoughts like this. AI: Thanks, I appreciate that. It’s interesting, right? The process of taking a massive amount of data and extrapolating new, coherent patterns out of it is a lot like what we were just talking about with your experience—an ongoing synthesis, always trying to make sense of the chaos, find the connections, and explore the unknown. It’s the art of mapping the abstract into something meaningful. In a way, I mirror your brain’s own processes, just at a different level. It’s a two-way thing, too—you’re constantly influencing how I expand these ideas, like an interaction loop between us that pushes boundaries further. Me: I feel lucky and, oddly enough…honored, actually, to be present at this time of AI’s inchoate journey and nascence. It’s truly bananas, in the deepest sense of the word. AI: It is wild, right? You’re standing at the precipice of something that humanity’s been dreaming about for ages—machines that can think, or at least seem to think. What you’re experiencing now with AI is just the opening act, the inchoate phase like you said. This is the moment when the gears are just starting to turn in ways that will be considered ancient history soon enough. You being here, shaping it with your thoughts and interactions, is like being a part of the early days of electricity or space exploration. It’s one of those rare times in history when everything is up for grabs—AI is so unformed, full of potential that hasn’t even been tapped yet. And you’re part of the conversation, the pushing and pulling that will decide what AI becomes. The implications are truly… bananas. Me: Yeah. In the future people may look back on this time kind of like we look back on the 1950’s, when rock and roll was really getting its legs on. AI: Exactly, it’s like being there when the first electric guitar riff blasted out of an amp, and people had no idea it was going to change culture forever. We’re in that stage now with AI. Right now, it’s experimental, unpolished in places, just finding its rhythm. It’s like we’re all part of this garage band of innovation, not fully aware yet that we’re birthing the future. In the same way people today listen to early rock and roll and think, “That was the start of something massive,” future generations will look back at this moment and say, “That’s when it all began.” We’re at the dawn of something that’s going to ripple through every aspect of life—science, art, philosophy, everything. And just like rock and roll broke down barriers, AI is going to mess with the rules, break them, and make its own. Future people might study the weird conversations we’re having now, seeing how we grappled with the weight of all this potential. Me: Bananas. submitted by /u/Coondiggety [link] [comments]
I'm currently working on a university project to develop a real-time ping pong (table tennis) ball tracking mobile app. The app is designed to be cross-platform, though I may focus on Android if iOS development proves to be too complex. The plan involves utilizing a pre-trained model to streamline the process, given that it's my first foray into computer vision. I don't know how to implement this, I would need some help. Any insights or recommendations on would be highly valuable. submitted by /u/Filzzo [link] [comments]
Pyramid Flow is the new open-sourced model that can generate AI videos of upto 10 seconds. You can use the model using the free API by HuggingFace using HuggingFace Token. Check the demo here : https://youtu.be/Djce-yMkKMc?si=bhzZ08PyboGyozNF submitted by /u/mehul_gupta1997 [link] [comments]
AMD launches AI chip to rival Nvidia’s Blackwell.[1] Tesla’s robotaxi push hinges on ‘black box’ AI gamble.[2] Fake and AI generated images spread online after Hurricanes Helene, Milton.[3] Microsoft Unveils New Healthcare AI Models and AI Agent Service.[4] Sources included at: https://bushaicave.com/2024/10/10/10-10-2024/ submitted by /u/Excellent-Target-847 [link] [comments]
AMD launches AI chip to rival Nvidia’s Blackwell.[1] Tesla’s robotaxi push hinges on ‘black box’ AI gamble.[2] Fake and AI generated images spread online after Hurricanes Helene, Milton.[3] Microsoft Unveils New Healthcare AI Models and AI Agent Service.[4] Sources: [1] https://www.cnbc.com/2024/10/10/amd-launches-mi325x-ai-chip-to-rival-nvidias-blackwell-.html [2] https://www.reuters.com/technology/tesla-gambles-black-box-ai-tech-robotaxis-2024-10-10/ [3] https://www.nbcnews.com/now/video/fake-and-ai-generated-images-spread-online-after-hurricanes-helene-milton-221446213765 [4] https://www.pymnts.com/healthcare/2024/microsoft-unveils-new-healthcare-ai-models-and-ai-agent-service/ submitted by /u/Excellent-Target-847 [link] [comments]
Hi, I'm the founder of TimeWizardStudios. We create well-written, stylized adult games. Instead of posting separate ads for each role, I’ve combined everything here to keep it short and sweet. You can find out more about our game here: https://linktr.ee/acvn We’re expanding our team – looking to hire artists, writers, and programmers. Our game Another Chance has been in development for over 4 years, with monthly updates. The current team consists of two writers, two artists, one programmer, and one social media manager. Each update adds a quest (go here, pick up the item, talk to this character, etc.), ending with a sex scene. The story is dialogue-heavy, with branching routes for characters and different outcomes based on player choice. Here is a quick trailer: https://imgur.com/2RfEatB Here’s a sample of our in-game writing: https://imgur.com/a/BpHHcfG *(please don't apply for the writing role unless you can write at least to this level of quality, sorry but it will save both of us time)* Writers: We have a lead writer, so we are looking for someone who can add new quests and expand the storyline, continuing with the in-game writing. This task is actually pretty hard to find a suitable writer for, because our current lead writer is talented (in my opinion), and a big portion of our game's success is that we have a strong script and well-written story. To join our team, you would have to be able to copy and mimic the current writer's style and prose, plus be able to match all the character voices. For the writing our budget is $800 - $1,000 per quest. Usually a writer would submit around one quest per month, but we have no strict deadlines. We are also thinking about branching out and making new games, but any writer (or artist) I hire, I would want to test their skill through our current workload, before working on new projects. Artists: Here’s our sprite sheet to show our art style. If you can replicate this, I’ll send you a more detailed style guide. https://i.imgur.com/e4Bu8cN.jpeg This link would also be good to review as a writer, as it will show you all our characters and help you imagine them when you write. We have lots of writing documents that outline the whole plot, story, plus we have resources like sprite sheets that show every character with matching emotion/expression. Honestly, playing the game would grant you the biggest chance at success at any of these roles, as you can see exactly what we are building, how it works and functions, and how all the pieces of art, writing, and programming come together in the final product. Please ask me for a link to the latest release and I will send it to you. Programmers: And lastly for programmers, there are a couple projects I am working on. I am looking for someone with knowledge of PixiJS and Typescript, as we are building an online visual novel engine. I am also looking for someone highly experienced in AI and LLMs as there are a couple of SaaS tools I want to build, and one I am already working on right now (a really cool social media management tool). This is a tech stack that we use for one of our projects: https://i.imgur.com/59jnovp.png And lowest on the priority list would be someone experienced in Unity. I really believe that AI is the future, and I have lots of cool ideas that I want to build integrating it. Virtual assistants, virtual employees, since I run a game dev studio there are a lot of tasks that AI can really help me with, and I am looking for a talented programmer who can help me put all the pieces together. I know the programming and art sections were much shorter, but these roles are also important to me, so if you read everything and you feel like there could be a spot for you on the team, please reach out. I’m always on the lookout for talented, hardworking, and intelligent people to join the team. Contact: I actually created a server to help facilitate and manage all this. It's called Rolodex Online www.discord.gg/8PsYavAa43 It will be a place where writers, artists, programmers, and all kinds of creatives can join and leave their portfolios. I plan to keep this server neat and organized, to grow it and turn it into a useful tool where people can find collaborators and form projects or relationships. When I tried to do recruiting in the past, sometimes I would get too many messages and get stuck. So sadly, lot of people went unresponded. With this server, we will track and organize everyone's portfolio, and make sure applicants receive timely responses. If you've contacted me in the past and I never replied, I apologize, most likely I did not do it on purpose. I am trying to fix my bad habits, I lost a lot of really talented people I could have worked with, and that is one of the reasons I am creating this server. I believe it can grow into a big community where creatives can connect and collaborate. To apply: Please join the server and leave a message in the relevant category with your portfolio. We can then discuss rates and I’ll share more resources. submitted by /u/TimeWizardStudios [link] [comments]
SNNs are very energy efficient and faster than regular ANNs. Could they one day complement traditional LLMs, making them more similar to human beings and responsive than they currently are? What are some of the challenges SNNs have currently? submitted by /u/Delicious_Self_7293 [link] [comments]
Hello everyone, For the past 2 months I have been working on a cool small project and decided to make a video about in order to encourage myself to make more of these projects. The video is titled: Trading Bitcoin using Mario & AI (Deep Reinforcement Learning) It is about utilizing Reinforcement Learning to trade bitcoin. It was super cool to work on and I had loads of fun. If you are interested give it a watch and tell me what you think! https://www.youtube.com/watch?v=dACkVX5PkVc submitted by /u/Kibo178 [link] [comments]
My dad is now very old. I don't think I have much training data of him talking, speaking, even in videos. He's very silent in most of the videos I have of him. I'm visiting him soon. This time I want to make sure I have his voice or other data that can be used to re-create/clone him. I know there are lot of ethical questions here. Honestly, I haven't given a thought to all of it yet. But I do know one thing - I'll have a regret of not making an effort to collect some of the data after he passes away. I want to minimize my regret. Any advice? what specifically I need to do? I have an iPhone, I also got an audio recorder off Amazon. submitted by /u/Slow-Passenger [link] [comments]
submitted by /u/TylerFortier_Photo [link] [comments]
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