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.
Mastering GPT-4: Simplified Guide for Everyday Users
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.
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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!
As automation and AI become more integrated into daily life, we’re faced with an interesting question: Can systems be designed to embody kindness? Many argue that kindness is fundamentally emotional—something AI cannot possess. But others suggest that if kindness is about reducing harm and fostering well-being, then it can be programmed into decision-making frameworks. For example, an AI that prioritizes fairness in hiring, or a chatbot that recognizes distress and responds with supportive guidance—are these acts of kindness, or simply well-designed functions? Where do you think kindness begins? Is it a unique trait to living beings, or can it exist in other forms? Looking forward to different perspectives. submitted by /u/papptimus [link] [comments]
Heard a lot about global AI governance at the Paris summit, seems like a big deal, but also kinda complicated. Can someone break it down in simple terms? submitted by /u/Ri711 [link] [comments]
A new approach to expressive music performance generation combining hierarchical transformers with text control. The core idea is using multi-scale encoding of musical scores alongside text instructions to generate nuanced performance parameters like dynamics and timing. Key technical aspects: * Hierarchical transformer encoder-decoder that processes both score and text * Multi-scale representation learning across beat, measure, and phrase levels * Continuous diffusion-based decoder for generating performance parameters * Novel loss functions combining reconstruction and text alignment objectives Results reported in the paper: * Outperformed baseline methods in human evaluation studies * Successfully generated varied interpretations from different text prompts * Achieved fine-grained control over dynamics, timing, and articulation * Demonstrated ability to maintain musical coherence across long sequences I think this work opens up interesting possibilities for music education and production tools. Being able to control performance characteristics through natural language could make computer music more accessible to non-technical musicians. The hierarchical approach also seems promising for other sequence generation tasks that require both local and global coherence. The main limitation I see is that it's currently restricted to piano music and requires paired performance-description data. Extension to other instruments and ensemble settings would be valuable future work. TLDR: New transformer-based system generates expressive musical performances from scores using text control, with hierarchical processing enabling both local and global musical coherence. Full summary is here. Paper here. submitted by /u/Successful-Western27 [link] [comments]
Interacting with ChatGPT can feel like talking to an artificial intelligence from the future. Conversations are able to flow naturally, and you don’t even realize you’re interacting with something as powerful as a programmed AI chatbot.
And now, for those of us who want more than just casual banter, there’s an entire advanced guide to mastering the art of chatting with ChatGPT!
So whether you need advice on how to customize your conversations or gain greater insight into what your bot is truly capable of, this guide will help take your robotic conversations up several notches.
Advanced Guide to Interacting with ChatGPT: What is ChatGPT and how does it work
ChatGPT is a large language model based on the GPT-3.5 architecture, trained by OpenAI to generate human-like text in response to user prompts.
It works by analyzing the input it receives, generating a range of possible responses based on that input, and selecting the most appropriate response using natural language processing algorithms.
Advanced Guide to Interacting with ChatGPT: Setting Up Your Account for Optimal Performance
To set up your account for optimal performance with ChatGPT, make sure you have a reliable internet connection and a device that meets the minimum requirements for running the chatbot. You may also want to customize your settings and preferences in the chat interface to better suit your needs.
Advanced Guide to Interacting with ChatGPT: Tips for Interacting with the Bot and Getting the Most Out of It
To get the most out of interacting with ChatGPT, try to be as clear and specific as possible in your prompts and questions, and use natural language rather than shorthand or technical jargon.
You can also experiment with different types of prompts and questions to see what types of responses you get.
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Advanced Guide to Interacting with ChatGPT: Maximizing User Experience to Get Better Results
To maximize your user experience and get better results from ChatGPT, try to give as much context as possible when asking questions or making prompts.
You can also use the chatbot’s features and settings to customize the interface, adjust response preferences, and optimize your interactions with the bot.
Advanced Guide to Interacting with ChatGPT: Knowing When to Override the Bot’s Suggestions
It’s important to use your judgment and experience to determine when to override the bot’s suggestions.
While ChatGPT is designed to generate accurate and helpful responses, it’s not always perfect and may sometimes make mistakes or provide incomplete information. In such cases, you may need to rely on your own knowledge and expertise to supplement or correct the bot’s responses.
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Advanced Guide to Interacting with ChatGPT: Troubleshooting Common Issues with ChatGPT
If you encounter common issues with ChatGPT, such as slow or unresponsive performance, error messages, or incorrect responses, there are several troubleshooting steps you can take.
These may include clearing your cache and cookies, updating your browser or device software, checking your internet connection, or adjusting your settings in the chat interface. If these steps don’t resolve the issue, you may need to contact customer support or seek assistance from a technical expert.
Advanced Guide to Interacting with ChatGPT: Effective Prompts, Priming, and Personas
This comprehensive guide aims to help users improve their interaction with ChatGPT by providing advanced insights into prompts, priming, and the use of personas.
Crafting effective prompts can significantly improve the quality and relevance of the generated output.
Be Specific and Clear
Ensure your prompt is explicit and leaves little room for ambiguity. This helps ChatGPT understand your intent and provide a more focused response.
Example:
Basic: “Tell me about batteries.”
Advanced: “Explain the working principle of lithium-ion batteries and their advantages over other battery types.”
Break Down Complex Questions
Break Down Complex Questions For better results, divide complicated questions into smaller, simpler parts. This allows ChatGPT to provide more detailed answers for each aspect.
Example:
Basic: “Explain the history and impact of the internet.”
Advanced (broken down): “Describe the invention of the internet,” followed by, “Discuss the impact of the internet on society and economy.”
Use Contextual Clues
Include contextual information in your prompts to guide ChatGPT towards the desired response.
Example:
Basic: “What was the outcome of the experiment?”
Advanced: “In the 1928 discovery of penicillin by Alexander Fleming, what was the outcome of the experiment and its significance in the field of medicine?”
Request Step-by-Step Explanations
When seeking complex or process-based answers, request step-by-step explanations to ensure the response is organized and easy to understand.
Example:
Basic: “How does photosynthesis work?”
Advanced: “Explain the process of photosynthesis in plants, breaking it down into its primary steps.”
Priming
Priming is the technique of providing additional information to ChatGPT to influence its response. It helps in obtaining more accurate, relevant, or tailored answers.
Set Expectations
Begin your interaction by setting expectations, such as specifying the format or depth of the answer you desire.
Example:
Basic: “What are the benefits of yoga?”
Advanced: “List 5 physical and 5 mental benefits of practicing yoga regularly.”
Establish Context
Provide context to your queries by specifying details such as time, place, or other relevant factors.
Example:
Basic: “What are the best practices in software development?”
Advanced: “What are the top 5 best practices in Agile software development methodologies?”
Limit Response Length
To ensure concise answers, set a constraint on the response length.
Example:
Basic: “Explain the role of mitochondria in cells.”
Advanced: “In 100 words or less, describe the primary function of mitochondria in eukaryotic cells.”
Personas
Personas are fictional identities assigned to ChatGPT to shape its responses. This can enhance the user experience by tailoring the output to specific styles, perspectives, or expertise levels.
Advanced: “You are an expert negotiator. Roleplay a scenario where you teach me techniques to improve my negotiation skills.”
Combine Personas and Priming
Integrate personas and priming to optimize the response and achieve a highly tailored output.
Example:
Basic: “What should I consider when starting a business?”
Advanced: “As a successful entrepreneur, provide a step-by-step guide on the essential factors to consider when starting a new business venture.”
Get Your Outputs in the Form of ASCII Art
While ChatGPT is based around text, you can get it to produce pictures of a sort by asking for ASCII art. That’s the art made up of characters and symbols rather than colors. It won’t win you any prizes, but it’s pretty fun to play around with.
The usual ChatGPT rules apply, in that the more specific you are the better, and you can get the bot to add new elements and take elements away as you go. Remember the limitations of the ASCII art format though—this isn’t a full-blown image editor.
Copy and Paste Text From Other Sources
You don’t have to do all the typing yourself when it comes to ChatGPT. Copy and paste is your friend, and there’s no problem with pasting in text from other sources. While the input limit tops out at around 4,000 words, you can easily split the text you’re sending the bot into several sections and get it to remember what you’ve previously said.
Perhaps one of the best ways of using this approach is to get ChatGPT to simplify text that you don’t understand—the explanation of a difficult scientific concept, for instance. You can also get it to translate text into different languages, write it in a more engaging or fluid style, and so on.
Advanced Guide to Interacting with ChatGPT: Copy and Paste from Other Sources
Provide Examples to Work With
Another way to improve the responses you get from ChatGPT is to give it some data to work with before you ask your question. For instance, you could give it a list of book summaries together with their genre, then ask it to apply the correct genre label to a new summary. Another option would be to tell ChatGPT about activities you enjoy and then get a new suggestion.
There’s no magic combination of words you have to use here. Just use natural language as always, and ChatGPT will understand what you’re getting at. Specify that you’re providing examples at the start of your prompt, then tell the bot that you want a response with those examples in mind.
In the same way that ChatGPT can mimic the style of certain authors that it knows about, it can also play a role: a frustrated salesman, an excitable teenager (you’ll most likely get a lot of emojis and abbreviations back), or the iconic Western star John Wayne.
The types of roles you can play around with are almost endless. These prompts might not score highly in terms of practical applications, but they’re definitely a useful insight into the potential of these AI chatbots.
Get Answers That Are More Than the Sum of Their Parts
Your answers can be seriously improved if you give ChatGPT some ingredients to work with before asking for a response. They could be literal ingredients—suggest a dish from what’s left in the fridge—or they could be anything else.
So don’t just ask for a murder mystery scenario. Also list out the characters who are going to appear. Don’t just ask for ideas of where to go in a city; specify the city you’re going to, the types of places you want to see, and the people you’ll have with you.
Hear Both Sides of a Debate
You’ve no doubt noticed how binary arguments have tended to get online in recent years, so get the help of ChatGPT to add some gray in between the black and white. It’s able to argue both sides of an argument if you ask it to, including both pros and cons.
From politics and philosophy to sports and the arts, ChatGPT is able to sit on the fence quite impressively—not in a vague way, but in a way that can help you understand issues from multiple perspectives.
Conclusion
Mastering effective prompts, priming, and personas will significantly improve your interactions with ChatGPT.
By applying these advanced techniques, you will obtain more accurate, relevant, and engaging responses tailored to your needs.
Remember to:
Craft specific and clear prompts
Break down complex questions into smaller parts
Include contextual clues in your prompts
Request step-by-step explanations
Set expectations and establish context through priming
Limit response length when necessary
Define personas and specify language and tone
Use roleplay scenarios to create engaging content
Combine personas and priming for highly tailored outputs
By implementing these advanced strategies, you will become more effective in using ChatGPT and enjoy a highly customized and valuable experience.
Advanced Guide to Interacting with ChatGPT: Conclusion
In conclusion, ChatGPT is a powerful conversational A.I. which can respond to requests and natural language queries with accuracy and speed.
By closely following the above advanced guide for how to interact with ChatGPT, users can achieve some truly remarkable results.
From connecting it to your application or website in the simplest way possible, to knowing how to craft interesting queries that ChatGPT will handle with ease and deliver relevant answers, this advice should be a great starting point for anyone looking to utilize this amazing technology.
It’s an opportunity never before available to developers and consumers alike—an opportunity not to be overlooked!So if you’re looking for an easy way to integrate A.I. into your platform or simply want an intelligent conversation partner then look no further than ChatGPT!
But this guide provides only a proposed framework for acclimating yourself with the technology—the ultimate decision on how much you get out of it is ultimately up to you! And so the important question remains: How do you get the most out of ChatGPT?
Advanced Guide to Interacting with ChatGPT: #ChatGPT through the lens of Dunning-Kruger effect, most users are still on the left side of the curve.
Can Chat GPT-4 replace software engineers? by Jerome Cukier
I’ve been using ChatGPT with GPT-4 right when it was announced.
I had been using ChatGPT with GPT-3 as my junior engineer for coding personal projects for the past few weeks. ChatGPT is pretty good at executing a well-delineated coding task. The output typically needs a little tweaking but it is great to achieve tasks in domain I am not very familiar, and it saves me a lot of time from reading documentation. Interestingly, when coupled with GitHub copilot (also powered by GPT), some of the problems in the generated solution become apparent / fix themselves when actually writing the suggested code in an editor.
From my point of view as a front-end engineer, the web API is extremely wide in scope and nobody is able to quickly answer questions on “how do you do X” or “how do you do Y” on the more obscure aspects of the API. Well, ChatGPT can and while it’s not always right, directionally it’s usually pretty much on the money.
With GPT-4, I am much more confident in letting it handle slightly larger projects.
It’s like my junior engineer got promoted! Yesterday, I asked it to create a VS Code extension that did a specific task. I wrote VS code extensions in the past, I love this kind of project but tbh I forgot everything about how to get started there. ChatGPT created my extension from scratch. Now, it didn’t work, but the scaffolding, which I think is the part I would dread the most if I had to create it from scratch, was perfect. I also asked it to create a small interactive demo with canvas.
Again, the demo itself didn’t work as intended and what exactly is wrong is going to take a little bit of time to figure out but the overall architecture of the app is solid. One thing that stroke me as odd is that the generated code doesn’t have any comments, even though my understanding is that GPT-4 will translate the requirements into intents which will then be transformed into code, so, we could have a description of the purpose of the classes / methods.
ChatGPT is a fantastic accelerant to coding tasks.
In a world where all software engineers do is when given precise requirements, produce code that implements these requirements to a T, then for most of us it would be time to explore other careers.
However, there are obvious concerns about an application entirely (or mostly) generated through ChatGPT. Let’s pause for a minute and think of what it is to build an app or a service. As an analogy, let’s try to think what it is to build a house. As a person who “experiences” a house, you could describe it as a succession of spaces. It has a front door, then it has a lobby, then there is a kitchen that has certain appliances in it, there is a living room, etc, etc. Now, let’s imagine a robot that would build a house space by space.
Again – first the door, according to specs. Perfect, looks like a door. Then a lobby.
Then a hallway. There’s a door in the hallway to a kitchen. There’s a door in the hallway to a living room. Wait. Is our house in construction going to make any sense? is it going to form a convex, continuous shape? am I going to be able to build a 2nd floor on top, a basement, etc. and have everything working well together?
The same goes for systems implemented with chatGPT feature by feature. The resulting code is going to be very brittle, and eventually need a substantial refactor at every step. One way to avoid this (same for the house metaphor) is come up with a sensible high-level plan or architecture. That’s still the realm of the human engineer. The other task is going to be able to evaluate what’s being generated at every step, and coming up with systems to make sure that we (humans + robots) are still building the right thing.
Anyway. Humans are not going away anytime soon and ChatGPT/GPT-4 are not at a stage where they can build a complex system from the ground up. But the nature of the work is changing and it’s changing more rapidly than most of us thought.
Chatgpt Plugins Week 1. GPT-4 Week 2. Another absolutely insane week in AI. One of the biggest advancements in human history. Source.
Some pretty famous people (Musk, Wozniak + others) have signed a letter (?) to pause the work done on AI systems more powerful than gpt4. Very curious to hear what people think about this. On one hand I can understand the sentiment, but hypothetically even if this did happen, will this actually accomplish anything? I somehow doubt it tbh [Link]
Here is a concept of Google Brain from back in 2006 (!). You talk with Google and it lets you search for things and even pay for them. Can you imagine if Google worked on something like this back then? Absolutely crazy to see [Link]
OpenAI has invested into ‘NEO’, a humanoid robot by 1X. They believe it will have a big impact on the future of work. ChatGPT + robots might be coming sooner than expected [Link]. They want to create human-level dexterous robots [Link]
There’s a ‘code interpreter’ for ChatGPT and its so good, legit could do entire uni assignments in less than an hour. I would’ve loved this in uni. It can even scan dB’s and analyze the data, create visualisations. Basically play with data using english. Also handles uploads and downloads [Link]
AI is coming to Webflow. Build components instantly using AI. Particularly excited for this since I build websites for people using Webflow. If you need a website built I might be able to help 👀 [Link]
ChatGPT Plugin will let you find a restaurant, recommend a recipe and build an ingredient list and let you purchase them using Instacart [Link]
Expedia showcased their plugin and honestly already better than any website to book flights. It finds flights, resorts and things to do. I even built a little demo for this before plugins were released 😭 [Link]. The plugin just uses straight up English. We’re getting to a point where if you can write, you can create [Link]
The Retrieval plugin gives ChatGPT memory. Tell it anything and it’ll remember. So if you wear a mic all day, transcribe the audio and give it to ChatGPT, it’ll remember pretty much anything and everything you say. Remember anything instantly. Crazy use cases for something like this [Link]
ChadCode plugin lets you do search across your files and create issues into github instantly. The potential for something like this is crazy. Changes coding forever imo [Link]
The first GPT-4 built iOS game and its actually on the app store. Mate had no experience with Swift, all code generated by AI. Soon the app store will be flooded with AI built games, only a matter of time [Link]
Real time detection of feelings with AI. Honestly not sure what the use cases are but I can imagine people are going to do crazy things with stuff like this [Link]
Voice chat with LLama on you Macbook Pro. I wrote about this in my newsletter, we won’t be typing for much longer imo, we’ll just talk to the AI like Jarvis [Link]
People in the Midjourney subreddit have been making images of an earthquake that never happened and honestly the images look so real its crazy [Link]
This is an interesting comment by Mark Cuban. He suggests maybe people with liberal arts majors or other degrees could be prompt engineers to train models for specific use cases and task. Could make a lot of money if this turns out to be a use case. Keen to hear peoples thoughts on this one [Link]
Emad Mostaque, Ceo of Stability AI estimates building a GPT-4 competitor would be roughly 200-300 million if the right people are there [Link]. He also says it would take at least 12 months to build an open source GPT-4 and it would take crazy focus and work [Link]
• A 3D artist talks about how their job has changed since Midjourney came out. He can now create a character in 2-3 days compared to weeks before. They hate it but even admit it does a better job than them. It’s honestly sad to read because I imagine how fun it is for them to create art. This is going to affect a lot of people in a lot of creative fields [Link]
This lad built an entire iOS app including payments in a few hours. Relatively simple app but sooo many use cases to even get proof of concepts out in a single day. Crazy times ahead [Link]
Someone is learning how to make 3D animations using AI. This will get streamlined and make some folks a lot of money I imagine [Link]
These guys are building an ear piece that will give you topics and questions to talk about when talking to someone. Imagine taking this into a job interview or date 💀 [Link]
What if you could describe the website you want and AI just makes it. This demo looks so cool dude website building is gonna be so easy its crazy [Link]
Wear glasses that will tell you what to say by listening in to your conversations. When this tech gets better you won’t even be able to tell if someone is being AI assisted or not [Link]
The Pope is dripped tf out. I’ve been laughing at this image for days coz I actually thought it was real the first time I saw it 🤣 [Link]
Levi’s wants to increase their diversity by showcasing more diverse models, except they want to use AI to create the images instead of actually hiring diverse models. I think we’re going to see much more of this tbh and it’s going get a lot worse, especially for models because AI image generators are getting crazy good [Link]. Someone even created an entire AI modelling agency [Link]
ChatGPT built a tailwind landing page and it looks really neat [Link]
This investor talks about how he spoke to a founder who literally took all his advice and fed it to gpt-4. They even made ai generated answers using eleven labs. Hilarious shit tbh [Link]
Someone hooked up GPT-4 to Blender and it looks crazy [Link]
This guy recorded a verse and made Kanye rap it [Link]
GPT4 saved this dogs life. Doctors couldn’t find what was wrong with the dog and gpt4 suggested possible issues and turned out to be right. Crazy stuff [Link]
A research paper suggests you can improve gpt4 performance by 30% by simply having it consider “why were you wrong”. It then keeps generating new prompts for itself taking this reflection into account. The pace of learning is really something else [Link]
You can literally asking gpt4 for a plugin idea, have it code it, then have it put it up on replit. It’s going to be so unbelievably easy to create a new type of single use app soon, especially if you have a niche use case. And you could do this with practically zero coding knowledge. The technological barrier to solving problems using code is disappearing before our eyes [Link]
A soon to be open source AI form builder. Pretty neat [Link]
Create entire videos of talking AI people. When this gets better we wont be able to distinguish between real and AI [Link]
Someone made a cityscape with AI then asked ChatGPT to write the code to port it into VR. From words to worlds [Link]
Someone got GPT4 to write an entire book. It’s not amazing but its still a whole book. I imagine this will become much easier with plugins and so much better with gpt5 & gpt6 [Link]
Make me an app – Literally ask for an app and have it built. Unbelievable software by Replit. When AI gets better this will be building whole, functioning apps with a single prompt. World changing stuff [Link]
Langchain is building open source AI plugins, they’re doing great work in the open source space. Can’t wait to see where this goes [Link]. Another example of how powerful and easy it is to build on Langchain [Link]
Tesla removed sensors and are just using cameras + AI [Link]
GPT4 is so good at understanding different human emotions and emotional states it can even effectively manage a fight between a couple. We’ve already seen many people talk about how much its helped them for therapy. Whether its good, ethical or whatever the fact is this has the potential to help many people without being crazy expensive. Someone will eventually create a proper company out of this and make a gazillion bucks [Link]
You can use plugins to process video clips, so many websites instantly becoming obsolete [Link] [Link]
The way you actually write plugins is describing an api in plain english. Chatgpt figures out the rest [Link]. Don’t believe me? Read the docs yourself [Link]
This lad created an iOS shortcut that replaces Siri with Chatgpt [Link]
I’m sure we’ve all already seen the paper saying how gpt4 shows sparks of AGI but I’ll link it anyway. “we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system.” [Link]
This lad created an AI agent that, given a task, creates sub tasks for itself and comes up with solutions for them. It’s actually crazy to see this in action, I highly recommend watching this clip [Link]. Here’s the link to the “paper” and his summary of how it works [Link]
Someone created a tool that listens to your job interview and tells you what to say. Rip remote interviews [Link]
Perplexity just released their app, a Chatgpt alternative on your phone. Instant answers + cited sources [Link]
The author writes about the implications of all the crazy new advancements happening in AI for people who don’t have the time to do their own research. If you’d like to stay in the know you can sub here 🙂
Advanced Guide to Interacting with ChatGPT: ChatGPT FAQ
ChatGPT is a chatbot that uses the GPT-3.5/GPT-4 language model by OpenAI to generate responses to user input. It has been trained on a large dataset of human conversation and is able to understand and respond to a wide range of topics and questions. ChatGPT is not a real person, but it is designed to be able to hold a conversation in a way that is similar to how a human would. It can provide information, answer questions, and even carry out simple tasks.
I recommend reading or at least skimming the following page: https://openai.com/terms/ It has been quoted several times in this post.
A: ChatGPT is available to answer questions and have conversations with users at any time. The site and service suffer periodic outages due to sudden and/or excessive demand. In this case please return later and try again.
Q: ChatGPT told me something that happened after 2021. How?
A: ChatGPT has LIMITED knowledge of events after 2021. Not no knowledge. Limited doesn’t mean zero.
Q3: How accurate is ChatGPT?
A: ChatGPT is trained on a large dataset of human conversation and human generated text. It is able to understand and respond to a wide range of topics and questions. However, it is a machine learning model, and there may be times when it does not understand what you are saying or does not provide a satisfactory response. ChatGPT cannot be relied upon to produce accurate factual information.
Q4: Can ChatGPT understand and talk in multiple languages?
A: Yes. Users have reported ChatGPT being very capable in many languages. Not all languages are handled flawlessly but it’s very impressive.
Q5: Is ChatGPT able to learn from its conversations with users?
A: ChatGPT is not able to learn from individual conversations with users. While ChatGPT is able to remember what the user has said earlier in the conversation, there is a limit to how much information it can retain. The model is able to reference up to approximately 3000 words (or 4000 tokens) from the current conversation – any information beyond that is not stored.
Q6: Can I ask ChatGPT personal questions?
A: ChatGPT does not have personal experiences or feelings. It is not able to provide personal insights or opinions as it does not have personal opinions. However, it can provide information and assist with tasks on a wide range of topics.
Q7: Can ChatGPT do mathematics?
A: Not with any reliability. ChatGPT was not designed to do mathematics. It may be able to explain concepts and workflows but should not be relied upon to do any mathematical calculations. It can even design programs that do work as effective and accurate calculators. HINT: Try asking ChatGPT to write a calculator program in C# and use an online compiler to test it. Those interested in programming may want to look into this: https://beta.openai.com/docs/guides/code/introduction.
Q8: What can I do with ChatGPT?
A: ChatGPT can write stories, shooting scripts, design programs, write programs, write technical documentation, write autopsy reports, rewrite articles, and write fake interviews. It can convert between different text styles. HINT: Try giving it a few paragraphs of a book and ask for it to be converted into a screenplay. ChatGPT can even pretend to be a character so long as you provide the appropriate details.
Q9: Can I be banned from using ChatGPT?
A: It is possible for users to be banned from using ChatGPT if they violate the terms of service or community guidelines of the platform. These guidelines typically outline acceptable behaviour and may include things like spamming, harassment, or other inappropriate actions. If you are concerned about being banned, you should make sure to follow the guidelines and behave in a respectful and appropriate manner while using the platform.
Q10: Does ChatGPT experience any bias?
A: It’s certainly possible. As ChatGPT was trained on text from the internet it is likely that it will be biased towards producing ouput consistent with that. If internet discussion tends towards a bias it is possible that ChatGPT will share that bias. ChatGPT automatically attempts to prevent output that engages in discrimination on the basis of protected characteristics though this is not a perfect filter.
Q11: Who can view my conversations?
A: Staff at OpenAI can view all of your conversations. Members of the public cannot. Here is a direct quote from OpenAI: ”As part of our commitment to safe and responsible AI, we review conversations to improve our systems and to ensure the content complies with our policies and safety requirements.” Quote paraphrased from https://openai.com/terms/
Q12: Are there any good apps for ChatGPT?
A: That’s possible. OpenAI have released an API so other people can now build ChatGPT apps. It’s up to you to look around and see what you like. Please suggest some in the comments.
Q13: How does ChatGPT know what time it is?
A: While a lot of ChatGPT’s inner workings are hidden from the public there has been a lot of investigation into its capabilities and processes. The current theory is that upon starting a new conversation with ChatGPT a hidden message is sent that contains several details. This includes the current time.
Q14: Can I use the output of ChatGPT and pretend I wrote it?
A: No. This is in violation of their terms. “You may not represent that output from the Services was human-generated when it is not” Quote paraphrased from https://openai.com/terms/
Q15: Can I have multiple accounts?
A: Yes you can. On the ChatGPT public testing service, there are no restrictions on the number of accounts belonging to any one user.
Q16: Do I have to follow the terms and services of ChatGPT?
A: Technically no but, if you want to keep your account, yes. They’re not a legal mandate however OpenAI does have the right to terminate your account and access to their services in the case that you violate the terms you agreed to upon account creation.
Q17: ChatGPT as a mobile App
A: Read Aloud For Me provides ChatGPT inside their mobile PWA, so you don’t have to use a browser. Get it here: (iOs, Android Google, Amazon Android, Windows)
Read Aloud For Me – Read aloud and translate text, photos, pdfs documents for me in my chosen language. Speech Synthesizer, Take Notes and Save via voice, No tracking, Secure, Read For Me without tracking me. Advanced Guide to Interacting with ChatGPT.
If you’re not learning ChatGPT, you’re falling behind. 10 insanely valuable prompts to help you master #ChatGPT:
Demystify tough subjects in no time:
Prompt: “Simplify [insert topic] into straightforward, easy-to-understand language suitable for beginners.”
Make ChatGPT adopt your writing style.
Prompt: “Study the writing style in the given text and craft a 200-word piece on [insert topic]”
Let ChatGPT handle customer correspondence.
Prompt: “As a customer support specialist, respond to a customer unhappy with a late delivery. Write a 100-word apology email that includes a 20% discount.”
Teach ChatGPT to develop prompts for its own use.
Prompt: “You are an AI designed to support [insert profession]. Create a list of the top 10 prompts related to [insert topic].”
Ask ChatGPT to guide you in mastering ChatGPT.
Prompt: “Develop a beginner’s guide to ChatGPT, focusing on prompts, priming, and personas. Incorporate examples where needed, and limit the guide to 500 words.”
Consult ChatGPT for problem resolution.
Prompt: “Imagine you’re an expert career coach. I [explain issue]. Suggest a list of 5 potential solutions to help resolve this problem.”
Employ ChatGPT for recruitment:
Prompt: “I’m looking to hire [insert job] but lack experience in hiring [insert job]. Recommend 10 online communities and job boards where I can find suitable candidates for this position.”
Conquer writer’s block.
Prompt: “I’m working on a blog post about [insert topic] but need an attention-grabbing title. Propose 5 possible blog titles for this article.”
Ace your job interview.
Prompt: “I’m preparing for an interview for [enter position]. Compile a comprehensive list of potential interview questions, along with brief answers to each.”
Ignite innovative ideas.
Prompt: “I want to achieve [insert task or goal]. Generate [insert desired outcome] related to [insert task or goal].”
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