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When working with ChatGPT 4 on specific questions (such as programming, electrical engineering, writing, etc), I often ask specific questions and know that ChatGPT will provide an example. However, by default, ChatGPT will also provide a lot of extra information beyond just the generated content that explains what is g...	To effectively reduce extra information and receive more concise responses from ChatGPT, you can try the following directives: 1. "Provide a brief example only." 2. "Please limit the response to just the example." 3. "Just give me the code/explanation without additional comments." 4. **"I only need the exa...	[ { "from": "human", "value": "When working with ChatGPT 4 on specific questions (such as programming, electrical engineering, writing, etc), I often ask specific questions and know that ChatGPT will provide an example. However, by default, ChatGPT will also provide a lot of extra information beyond just the ...
Can third-party bots, apps, or plugins that rely on ChatGPT see which code/questions we send/ask to ChatGPT?	Yes, third-party bots, apps, or plugins that use the ChatGPT API can potentially see the inputs you send and the outputs generated by the model. When you interact with these services, your inputs are processed by their systems, which means that they may have access to your queries and the responses. The extent of this ...	[ { "from": "human", "value": "Can third-party bots, apps, or plugins that rely on ChatGPT see which code/questions we send/ask to ChatGPT?\n" }, { "from": "gpt", "value": "Yes, third-party bots, apps, or plugins that use the ChatGPT API can potentially see the inputs you send and the outputs gene...
I use LLMs for QA tasks. The following prompt sent to Llama-2-13b-chat-hf: Give a precise answer to the question based on the context. Don't be verbose. CONTEXT: ..... QUESTION: what is the commission rate? ANSWER: It gives me the answer like: The commission rate is 20% How to prompt so that it can give the answer wi...	To adjust your prompt so that the model provides a more concise answer (just the numeric value or term), you can modify it slightly. Here’s a revised version of your prompt: ``` Give a precise answer to the question based on the context. Respond with just the answer, without a full sentence. CONTEXT: ..... QUESTION: w...	[ { "from": "human", "value": "I use LLMs for QA tasks. The following prompt sent to Llama-2-13b-chat-hf:\nGive a precise answer to the question based on the context. Don't be verbose.\nCONTEXT: .....\nQUESTION: what is the commission rate?\nANSWER:\n\nIt gives me the answer like:\nThe commission rate is 20%\...
I have tried to get ChatGPT to translate simple phrases in English to other languages (Non-European Asian languages). At least for simple phrases, it seems to translate things mostly correctly. How is it doing this? Does ChatGPT have some kind of machine translation service running in the background? Or is the translat...	ChatGPT's ability to translate phrases from English to non-European Asian languages is primarily based on the language patterns and examples it has been trained on. It does not have a separate machine translation service running in the background. Instead, the model has been trained on a diverse dataset that includes t...	[ { "from": "human", "value": "I have tried to get ChatGPT to translate simple phrases in English to other languages (Non-European Asian languages). At least for simple phrases, it seems to translate things mostly correctly. How is it doing this?\nDoes ChatGPT have some kind of machine translation service run...
Meta released their open source LLM, Llama 2. Does Llama 2 have real time data or this was trained on data available till some date?	Llama 2, like other large language models, was trained on data available up to a certain cutoff date, and it does not have real-time data capabilities. The training data for Llama 2 includes a variety of text from the internet and other sources, but it does not include ongoing updates or access to live data after that ...	[ { "from": "human", "value": "Meta released their open source LLM, Llama 2. Does Llama 2 have real time data or this was trained on data available till some date?\n" }, { "from": "gpt", "value": "Llama 2, like other large language models, was trained on data available up to a certain cutoff date,...
KSampler requires using a variational autoencoder to convert an initial image to latent space before it tries to de-noise it. And this is awesome, but if you simply encode to latent space and decode without any treatment, you get a lot of distortion on an image. Is there a custom node for ComfyUI that uses any model to...	In ComfyUI, you can definitely find custom nodes that allow you to de-noise images without converting them to latent space, as traditional denoising models are designed for directly enhancing image quality. If you're looking for a specific node that implements this functionality, consider looking for nodes or plugins t...	[ { "from": "human", "value": "KSampler requires using a variational autoencoder to convert an initial image to latent space before it tries to de-noise it. And this is awesome, but if you simply encode to latent space and decode without any treatment, you get a lot of distortion on an image.\nIs there a cust...
I’ve created a couple dozen custom OpenAI GPTs. Most are barely used; but a few have good usage numbers. My most used is called Data Science Consultant. Is it possible to know how many people are using a specific custom GPT? I would like to know if I have a handful of die hard users, or many occasional users. Thank you...	As of my last update in October 2023, OpenAI does not provide specific user analytics for individual custom GPTs, such as detailed usage statistics or user counts. However, you may be able to see general engagement metrics within the OpenAI interface where you created and manage your custom GPTs. This may include total...	[ { "from": "human", "value": "I’ve created a couple dozen custom OpenAI GPTs. Most are barely used; but a few have good usage numbers. My most used is called Data Science Consultant.\nIs it possible to know how many people are using a specific custom GPT? I would like to know if I have a handful of die hard ...
This is a kite: Since "kite" is more commonly used to refer to the light-weight toy flown in the sky, I can't think of how to ask leonardo.ai to draw a kite (the bird). It seems hard (or maybe even impossible) to disambiguate the two. Question: How can I get leonardo.ai to draw a kite (bird) and not a kite (toy)? I...	To get leonardo.ai to draw a kite (the bird) instead of a kite (the toy), you can try using more descriptive language that clearly communicates what you want. Here are a few suggestions: 1. Specify the Species: You can refer to specific types of kites, such as "black kite," "red kite," or "fish eagle." For example...	[ { "from": "human", "value": "This is a kite:\n\n\n\nSince \"kite\" is more commonly used to refer to the light-weight toy flown in the sky, I can't think of how to ask leonardo.ai to draw a kite (the bird). It seems hard (or maybe even impossible) to disambiguate the two.\nQuestion: How can I get leonardo....
Many of you probably already seen this funny chat that went viral While I assume this sort of answers existed on the early stages of ChatGPT development, but I think this is quite probably now also, with some sort of convincing from the requestor. Why ChatGPT cannot give arguments to support its stance? Why does it lo...	ChatGPT is designed to provide helpful, informative, and contextually relevant responses. However, it doesn't have personal beliefs or stances, as it is an artificial intelligence that generates responses based on patterns in the data it was trained on. Here are a few reasons why it might seem like it "loses ground" in...	[ { "from": "human", "value": "Many of you probably already seen this funny chat that went viral\n\nWhile I assume this sort of answers existed on the early stages of ChatGPT development, but I think this is quite probably now also, with some sort of convincing from the requestor.\nWhy ChatGPT cannot give arg...
Providing an email I drafted, I asked ChatGPT to rewrite it to be more concise, while also asking the style of language to remain similar to the original. ChatGPT sometimes does okay with this request, but often will still default to a very formal or stilted speaking style. Then, if I ask ChatGPT to be more casual, it ...	It sounds like you're looking for a way to get a more tailored response that strikes the right balance between conciseness and maintaining your preferred style—without veering too formal or overly casual. Here are a few tips on how to frame your requests to achieve that: 1. Specify the Tone and Style: Describe the...	[ { "from": "human", "value": "Providing an email I drafted, I asked ChatGPT to rewrite it to be more concise, while also asking the style of language to remain similar to the original. ChatGPT sometimes does okay with this request, but often will still default to a very formal or stilted speaking style. Then...
I've been trying for hours to generate a kicking action in MJ, but can't find the right prompt, tried "karate, tae kwon do, flying kick, kicking, performing kick", but nothing seems to have the proper effect. Punching is pretty easy but kicking is giving me a headache. Any ideas?	It sounds like you're having a tough time finding the right prompts for generating a kicking action in your project. Here are some suggestions that may help you achieve the desired effect: 1. Detailed Movement Descriptions: Instead of just using the word "kick," try using more descriptive phrases. For example: ...	[ { "from": "human", "value": "I've been trying for hours to generate a kicking action in MJ, but can't find the right prompt, tried \"karate, tae kwon do, flying kick, kicking, performing kick\", but nothing seems to have the proper effect. Punching is pretty easy but kicking is giving me a headache.\nAny id...
While I understand that GPT-4 does not use logic in the same way that a human does, is there some way to have ChatGPT "explain" itself?	Yes, while GPT-4 doesn't "think" or "reason" in the human sense, I can provide insights into how I generate responses and the principles behind my design. Here are some key points about how I operate: 1. Pattern Recognition: I analyze the text input based on patterns I learned during training on a diverse range of...	[ { "from": "human", "value": "While I understand that GPT-4 does not use logic in the same way that a human does, is there some way to have ChatGPT \"explain\" itself?\n" }, { "from": "gpt", "value": "Yes, while GPT-4 doesn't \"think\" or \"reason\" in the human sense, I can provide insights into...
I understand that people have been "jailbreaking" using different prompt injections etc. So my first question is: Does this break T&C and as a result could this lead to a ban? My second is: If you are a third party app developer and someone uses your app to do this, will OpenAI hold you responsible?	To address your questions: 1. Jailbreaking and Terms of Service: Engaging in "jailbreaking," which typically involves manipulating the model's behavior through prompt injections or similar methods, generally violates the Terms of Service (T&C) set by OpenAI. Such actions can lead to consequences, including potenti...	[ { "from": "human", "value": "I understand that people have been \"jailbreaking\" using different prompt injections etc.\nSo my first question is: Does this break T&C and as a result could this lead to a ban?\nMy second is: If you are a third party app developer and someone uses your app to do this, will Ope...
What is the total number of web pages used to train ChatGPT-3.5, and what methods are employed to ensure the veracity of the vast data while filtering out inaccurate information?	OpenAI has not disclosed the specific number of web pages used to train ChatGPT-3.5 or the exact datasets involved. However, it is known that the model was trained on a diverse range of text from the internet, including books, articles, and other written material. To ensure the quality and veracity of the training dat...	[ { "from": "human", "value": "What is the total number of web pages used to train ChatGPT-3.5, and what methods are employed to ensure the veracity of the vast data while filtering out inaccurate information?\n" }, { "from": "gpt", "value": "OpenAI has not disclosed the specific number of web pag...
What are the temperature and top_p values used on https://chat.openai.com/? I know that the temperature and top_p values with the openai.com API both default to 1 for chat completion, but I don't know if https://chat.openai.com/ used these default values.	The exact temperature and top_p values used by the ChatGPT interface at https://chat.openai.com/ are not publicly disclosed by OpenAI. However, it's commonly understood that these parameters can influence the creativity and randomness of responses. While the default values for the OpenAI API are indeed both set to 1,...	[ { "from": "human", "value": "What are the temperature and top_p values used on https://chat.openai.com/? I know that the temperature and top_p values with the openai.com API both default to 1 for chat completion, but I don't know if https://chat.openai.com/ used these default values.\n" }, { "from":...
So then to watermark, instead of selecting the next token randomly, the idea will be to select it pseudorandomly, using a cryptographic pseudorandom function, whose key is known only to OpenAI. Roger Montti, How The ChatGPT Watermark Works And Why It Could Be Defeated, December 2022. (emphasis added; this topic has a...	Your interpretation touches on a few important points regarding the implications and utility of cryptographic watermarking in AI-generated content. Let's unpack this a bit: 1. Detection Exclusivity: If only OpenAI has access to the key used for watermarking, it means that only OpenAI can reliably authenticate whet...	[ { "from": "human", "value": "\nSo then to watermark, instead of selecting the next token randomly, the idea will be to select it pseudorandomly, using a cryptographic pseudorandom function, whose key is known only to OpenAI.\nRoger Montti, How The ChatGPT Watermark Works And Why It Could Be Defeated, Decemb...
I asked ChatGPT: what is the next 29th February that is Monday? It responded: To find the next 29th of February that falls on a Monday, we need to consider the leap years in the Gregorian calendar. The Gregorian calendar has a leap year every four years, except for years that are divisible by 100 but not divisible b...	To improve the accuracy of ChatGPT's responses regarding calendars and dates, consider the following strategies: 1. Specify the Context: Be clear about the specific date or calendar rule you are asking about. For instance, instead of asking about "the next 29th of February," specify "what day of the week is Februa...	[ { "from": "human", "value": "I asked ChatGPT:\n\nwhat is the next 29th February that is Monday?\n\nIt responded:\n\nTo find the next 29th of February that falls on a Monday, we need to\nconsider the leap years in the Gregorian calendar. The Gregorian\ncalendar has a leap year every four years, except for ye...
For example, I prompt GenAI to write an essay on "world war I". GenAI generated a 200 words "world war I overview" essay. How a user or student will insure and trust the data generated by ChatGPT or any LLM, is 100 percent accurate?	Ensuring that the data generated by ChatGPT or any large language model (LLM) is 100 percent accurate can be challenging for users and students, as these models are not infallible and can produce errors or outdated information. Here are some strategies to help verify the accuracy of the information provided: 1. **Cros...	[ { "from": "human", "value": "For example, I prompt GenAI to write an essay on \"world war I\". GenAI generated a 200 words \"world war I overview\" essay. How a user or student will insure and trust the data generated by ChatGPT or any LLM, is 100 percent accurate?\n" }, { "from": "gpt", "value"...
I asked the LLaMA V2 LLM using this site: https://llama2.ai/ - for the respective weekdays for February 29 for leap years since 2000. Here is the response: I'm happy to help! Here are the respective weekdays for February 29, for leap years since 2000: 2000: Monday 2004: Wednesday 2008: Tuesday 2012: Thursday 2016: Sa...	Thank you for pointing that out! Let's correct the weekdays for February 29 in leap years since 2000 using the Gregorian calendar: - 2000: Tuesday - 2004: Sunday - 2008: Friday - 2012: Monday - 2016: Wednesday - 2020: Saturday - 2024: Thursday (upcoming) So, the correct weekdays for Februa...	[ { "from": "human", "value": "I asked the LLaMA V2 LLM using this site: https://llama2.ai/ - for the respective weekdays for February 29 for leap years since 2000.\nHere is the response:\n\nI'm happy to help! Here are the respective weekdays for February 29, for leap years since 2000:\n\n2000: Monday\n2004: ...
I want to design a prompt where I already have the main thing in the image fixed, but I need to have a text included in the image with exact word(s) I put in there. For example, this is my prompt. a flying bird, text "Bird" in the background The result only generates a flying bird. No text in the image, let alone the...	To ensure that the exact text you want is included in the generated image, you might need to be more explicit in your prompt. Here are a few strategies you can try: 1. Emphasize Text Requirements: Make it clear that including the text is a priority. You can frame your prompt to stress that the text should be visib...	[ { "from": "human", "value": "I want to design a prompt where I already have the main thing in the image fixed, but I need to have a text included in the image with exact word(s) I put in there. For example, this is my prompt.\n\na flying bird, text \"Bird\" in the background\n\nThe result only generates a f...
I have tried to ask ChatGPT (3.5), and did the same question in the app version and in Playground, and the best answer was the one given by the website. I am just curios to know why?	There are several factors that could explain why you received different responses from ChatGPT in various platforms (web app, mobile app, Playground, etc.): 1. Model Variations: Different platforms might use slightly different versions or configurations of the model. For instance, there may be differences in the u...	[ { "from": "human", "value": "I have tried to ask ChatGPT (3.5), and did the same question in the app version and in Playground, and the best answer was the one given by the website.\nI am just curios to know why?\n" }, { "from": "gpt", "value": "There are several factors that could explain why y...
I have a really long string. How can I efficiently identify the boundaries of a fixed token length in the text? For example: text = "Quick silver brown fox jumped over the hedge" token_window = 4 tokens Assuming 1 token = 2 characters text with token window boundary = "Quic\|k si\|lver\| bro\|wn f\|ox j\|umpe\|d ov\|er t\|he h\|...	To efficiently identify the boundaries of a fixed token length in a long string without tokenizing the entire string at once, you can use a sliding window approach. This means you’ll process chunks of the string and find the boundaries iteratively. Here’s a Python function that demonstrates this approach, assuming you ...	[ { "from": "human", "value": "I have a really long string. How can I efficiently identify the boundaries of a fixed token length in the text?\nFor example:\ntext = \"Quick silver brown fox jumped over the hedge\"\ntoken_window = 4 tokens\nAssuming 1 token = 2 characters\ntext with token window boundary = \"Q...
In-context learning is a prompt engineering technique where natural-language demonstrations are provided as part of the prompt (source). Few-shot prompting is about providing a few examples in the prompt (source). These seem like the same concept to me. What is the difference between in-context learning and few-shot pr...	In-context learning and few-shot prompting are closely related concepts in the realm of natural language processing, particularly when working with large language models, but they are not exactly the same. In-Context Learning refers to the broader capability of a model to learn and adapt to tasks based on context ...	[ { "from": "human", "value": "In-context learning is a prompt engineering technique where natural-language demonstrations are provided as part of the prompt (source).\nFew-shot prompting is about providing a few examples in the prompt (source).\nThese seem like the same concept to me. What is the difference ...
I am trying to determine if GenAI will be a replacement for ChatGPT for questions about programming and computer science. It seems more likely the two tool will augment each other, but if so, how?	You're correct in thinking that generative AI (GenAI) and models like ChatGPT are more likely to complement each other rather than one completely replacing the other, especially in the domains of programming and computer science. Here’s how they might augment one another: ### 1. Specialization - GenAI Models: Some...	[ { "from": "human", "value": "I am trying to determine if GenAI will be a replacement for ChatGPT for questions about programming and computer science. It seems more likely the two tool will augment each other, but if so, how?\n" }, { "from": "gpt", "value": "You're correct in thinking that gener...
I am currently following the fine-tuning methods for the Hugging Face model Zephyr 7B. They have implemented two fine-tuning methods, namely SFT and DPO, on a public dataset. Currently, I am fine-tuning a 7B model using SFT, which is progressing well. However, I have a question regarding whether it is acceptable to fin...	You're correct in noting that DPO (Direct Preference Optimization) typically benefits from being trained on outputs generated by the same model or a closely related model to better align the preferences and optimization criteria with the model's capabilities. The main idea behind DPO is to learn from the relative prefe...	[ { "from": "human", "value": "I am currently following the fine-tuning methods for the Hugging Face model Zephyr 7B. They have implemented two fine-tuning methods, namely SFT and DPO, on a public dataset. Currently, I am fine-tuning a 7B model using SFT, which is progressing well. However, I have a question ...
ChatGPT renders inline math output like this: Markdown: is \( 2^4 = 16 \). Rendered: It doesn't use the typical $ ... $ or $$ ... $$ to wrap around math expressions (like in LaTex / MathJax), so what exactly does it use to render math in markdown? What's the notation of \( ... \)? I'd like to preview (preferrably usin...	ChatGPT uses a syntax that resembles LaTeX for inline math, which is typically expressed using the notation \( ... \) for inline math and \[ ... \] for display math. This is not standard LaTeX syntax as you might write it with $ ... $ or $$ ... $$, but rather a variant that is interpreted similarly in certain contexts....	[ { "from": "human", "value": "ChatGPT renders inline math output like this:\nMarkdown: is \\( 2^4 = 16 \\).\nRendered:\n\nIt doesn't use the typical $ ... $ or $$ ... $$ to wrap around math expressions (like in LaTex / MathJax), so what exactly does it use to render math in markdown?\nWhat's the notation of ...
I've just installed Ollama in my system and chatted with it a little. Unfortunately, the response time is very slow even for lightweight models like tinyllama. It seems that Ollama is in CPU-only mode and completely ignoring my GPU (Nvidia GeForce GT710). Preliminary Debug AVX Instructions According to journalctl the ...	Your preliminary conclusions about your setup and its limitations with Ollama are largely correct. Let's break down the key points and clarify each one: ### 1. AVX Instructions: - Your conclusion: Your CPU does not have AVX or AVX2 instructions, which leads to Ollama disabling GPU support. - Verification: ...	[ { "from": "human", "value": "I've just installed Ollama in my system and chatted with it a little.\nUnfortunately, the response time is very slow even for lightweight models like tinyllama.\nIt seems that Ollama is in CPU-only mode and completely ignoring my GPU (Nvidia GeForce GT710).\nPreliminary Debug\n\...
I want to train my very own large language model. I have some data, and access to an open-source foundational model. Can I use my laptop that only has a CPU and no GPU to train the model? Do I need to rent time on a cloud provider to get a VM with GPUs?	Training a large language model (LLM) on a laptop that only has a CPU is generally not feasible due to several constraints: 1. Resource Requirements: Training LLMs typically requires significant computational resources. GPUs are designed to handle the parallel processing necessary for training deep learning models...	[ { "from": "human", "value": "I want to train my very own large language model. I have some data, and access to an open-source foundational model. Can I use my laptop that only has a CPU and no GPU to train the model? Do I need to rent time on a cloud provider to get a VM with GPUs?\n" }, { "from": "...
At some point I messaged ChatGPT this: 2022 Hunga Tonga Hunga Ha'pai eruption And got this response: The Hunga Tonga Hunga Ha'pai eruption in 2022 was a significant volcanic event that occurred in the South Pacific. Here are some key details about the eruption: Location: Hunga Tonga Hunga Ha'pai is a volcanic islan...	ChatGPT is trained on a diverse range of sources, which include publicly available texts, articles, and other information up until my last knowledge update in September 2021. However, my knowledge can include events and information that are widely discussed or anticipated before my cutoff date, especially if they are s...	[ { "from": "human", "value": "At some point I messaged ChatGPT this:\n\n2022 Hunga Tonga Hunga Ha'pai eruption\n\nAnd got this response:\n\nThe Hunga Tonga Hunga Ha'pai eruption in 2022 was a significant volcanic event that occurred in the South Pacific. Here are some key details about the eruption:\n\nLocat...
I use GPT-4-32K on poe.com. On poe.com, the use of GPT-4-32K is very restricted. Is it possible to use GPT-4-32K directly from OpenAI as an individual user?	As of my last update in October 2023, OpenAI does provide access to GPT-4, including variants with higher context lengths, through its API and ChatGPT product. However, direct access to specific models like GPT-4-32K may be subject to availability and specific usage policies that OpenAI has in place. For individual us...	[ { "from": "human", "value": "I use GPT-4-32K on poe.com.\nOn poe.com, the use of GPT-4-32K is very restricted.\nIs it possible to use GPT-4-32K directly from OpenAI as an individual user?\n" }, { "from": "gpt", "value": "As of my last update in October 2023, OpenAI does provide access to GPT-4, ...
How Can I generate AI video like this one? I tried Runway Ai, but results are always with moving camera. I need a video with still camera shot like this one: https://www.youtube.com/watch?v=CE1wyu9vxgU Thank you!!	To generate AI videos with a still camera shot, you can try several approaches and tools. Here's a general guideline on how to achieve a similar effect as the video you linked: 1. AI Video Generation Platforms: - Pika Labs: This platform allows for more control over camera movements, including options for s...	[ { "from": "human", "value": "How Can I generate AI video like this one?\nI tried Runway Ai, but results are always with moving camera.\nI need a video with still camera shot like this one:\nhttps://www.youtube.com/watch?v=CE1wyu9vxgU\nThank you!!\n" }, { "from": "gpt", "value": "To generate AI v...
The environmentally conscious user may prefer a genAI which is less harmful to the environment, such as those with less CO₂ emissions. I was reading How to Make Generative AI Greener which suggests server location is a big factor in whether or not a genAI uses green energy, and it explains how a large amount of the CO...	Yes, there are ways to gauge the environmental impact of generative AI systems, although it can be challenging due to the complexity and variability of energy sources, training processes, and overall infrastructure used by AI companies. Here are some approaches to evaluate the environmental friendliness of popular gene...	[ { "from": "human", "value": "The environmentally conscious user may prefer a genAI which is less harmful to the environment, such as those with less CO₂ emissions. I was reading How to Make Generative AI Greener which suggests server location is a big factor in whether or not a genAI uses green energy, and...
My understanding of embeddings is this: Given some text string an embedding function (API) generates an embedding (a fixed-length vector of floats). Semantically similar texts have nearby vectors. Texts may be single words (tokens) or complete documents (or chunks of when the documents are too long). To compare two e...	Your understanding of embeddings and their application in conjunction with an autoregressive language model like ChatGPT is largely accurate, and you've captured the general process well. Let’s break down your steps to clarify and confirm your insights: 1. Embedding Generation: You correctly note that an embedding...	[ { "from": "human", "value": "My understanding of embeddings is this:\n\nGiven some text string an embedding function (API) generates an embedding (a fixed-length vector of floats). Semantically similar texts have nearby vectors. Texts may be single words (tokens) or complete documents (or chunks of when the...
Try using "Write a story about sea gods", "Write a story about underworld gods", or other phrases referencing gods as a prompt. They tend to use Greek mythology gods when a specific mythology is not mentioned. Why? I have used GPT-3.5, GPT-4 and LLaMA V2. Not sure about the behavior in other LLMs.	The tendency of language models like GPT-3.5, GPT-4, and LLaMA V2 to reference Greek mythology when discussing gods is likely due to several factors: 1. Cultural Influence: Greek mythology has had a profound influence on Western literature, art, and culture. Many common references, tropes, and archetypes originate...	[ { "from": "human", "value": "Try using \"Write a story about sea gods\", \"Write a story about underworld gods\", or other phrases referencing gods as a prompt. They tend to use Greek mythology gods when a specific mythology is not mentioned. Why?\nI have used GPT-3.5, GPT-4 and LLaMA V2. Not sure about the...
Correct me if I am wrong, but I assume that hallucinations can be primarily blamed on the training data underrepresenting responses that specifically state that someone doesn't know a specific fact. On the internet (the source of most training data AFAIK) either you know a certain fact and you share it, or you don't kn...	You raise an insightful point about the nature of training data and how it influences the behavior of large language models (LLMs). Indeed, the propensity for LLMs to generate incorrect or misleading information, known as hallucinations, can often be traced back to the nature of their training data. Most of the trainin...	[ { "from": "human", "value": "Correct me if I am wrong, but I assume that hallucinations can be primarily blamed on the training data underrepresenting responses that specifically state that someone doesn't know a specific fact. On the internet (the source of most training data AFAIK) either you know a certa...
At some sites I use, white hat hackers get certain rewards or "flair" for identifying and reporting vulnerabilities before they can be exploited in nefarious ways. The website llm-attacks.org, for instance, highlights a vulnerability for ChatGPT-3.5-Turbo, but which can be used for other LLMs. The authors' research w...	Yes, white hat hackers and researchers can be rewarded for identifying vulnerabilities in generative AI models, including major ones like ChatGPT. Many organizations, including those that develop large language models (LLMs), have established bug bounty programs to encourage responsible disclosure of vulnerabilities. T...	[ { "from": "human", "value": "At some sites I use, white hat hackers get certain rewards or \"flair\" for identifying and reporting vulnerabilities before they can be exploited in nefarious ways. The website llm-attacks.org, for instance, highlights a vulnerability for ChatGPT-3.5-Turbo, but which can be us...
I've been using language models for various tasks, and I often find myself saying "please" and "thank you" in my requests (like many others). I'm not sure if this politeness actually makes any difference when interacting with an LLM. Question: Does saying "please" and "thank you" to LLMs change anything? I asked Poe.c...	Using polite language, such as "please" and "thank you," when interacting with language models like ChatGPT does not change the underlying processing or capabilities of the model. The model responds based on patterns in the training data and does not have feelings or emotions. However, there are a few nuances to consid...	[ { "from": "human", "value": "I've been using language models for various tasks, and I often find myself saying \"please\" and \"thank you\" in my requests (like many others). I'm not sure if this politeness actually makes any difference when interacting with an LLM.\nQuestion: Does saying \"please\" and \"...
GPT 4 Turbo is cheaper and accepts a longer context than GPT 4 (128k vs. 8k or 32k). Does it mean GPT 4 Turbo perform worse than GPT 4? Prices from https://openai.com/pricing:	The differences in pricing and context length between GPT-4 Turbo and GPT-4 do not inherently imply that GPT-4 Turbo performs worse than GPT-4. Instead, these variations often reflect differences in architecture, efficiency, and intended use cases. 1. Cost-Effectiveness: GPT-4 Turbo is designed to be more cost-eff...	[ { "from": "human", "value": "GPT 4 Turbo is cheaper and accepts a longer context than GPT 4 (128k vs. 8k or 32k). Does it mean GPT 4 Turbo perform worse than GPT 4?\n\nPrices from https://openai.com/pricing:\n\n\n" }, { "from": "gpt", "value": "The differences in pricing and context length betwe...
I deployed GPT-4V on Azure OpenAI. I see: Tokens per Minute Rate Limit (thousands): 10 Rate limit (Tokens per minute): 30000 What's the difference between "Tokens per Minute Rate Limit (thousands)" and "Rate limit (Tokens per minute)" in Azure OpenAI?	In Azure OpenAI, the two terms you've mentioned refer to different aspects of rate limiting for your API usage: 1. Tokens per Minute Rate Limit (thousands): This is a representation of the maximum number of tokens you can process per minute, expressed in thousands. For example, if the value is 10, this means that ...	[ { "from": "human", "value": "I deployed GPT-4V on Azure OpenAI. I see:\n\nTokens per Minute Rate Limit (thousands): 10\nRate limit (Tokens per minute): 30000\n\nWhat's the difference between \"Tokens per Minute Rate Limit (thousands)\" and \"Rate limit (Tokens per minute)\" in Azure OpenAI?\n\n\n" }, { ...
In this YouTube video, the user talks to ChatGPT (orally) in Chinese about physical and mathematical constants. This feature looks like it would be extremely helpful for improving my Chinese listening. I'm not 100% sure it'll be worth forking out the pennies (maybe there's limits or something) so I'd like to see t...	The feature you're looking for that allows users to have an oral conversation with ChatGPT is likely part of the voice interaction capabilities offered by certain implementations of ChatGPT, particularly in applications that support voice input and output. This feature enables users to speak to the AI and receive verba...	[ { "from": "human", "value": "\n\n\nIn this YouTube video, the user talks to ChatGPT (orally) in Chinese about physical and mathematical constants. This feature looks like it would be extremely helpful for improving my Chinese listening. I'm not 100% sure it'll be worth forking out the pennies (maybe there...