openai-python
sharegpt
openai-python | sharegpt | |
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61 | 37 | |
19,999 | 1,683 | |
3.2% | - | |
9.6 | 6.9 | |
2 days ago | 6 months ago | |
Python | TypeScript | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openai-python
- The Stainless SDK Generator
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GPT-4 Turbo with Vision is a step backwards for coding
The ongoing model anchoring/grounding issue likely affects all GPT-4 checkpoints/variants, but is most prominent with the latest "gpt-4-turbo-2024-04-09" variant due to its most recent cutoff date, might imply deeper issues with the current model architecture, or at least how it's been updated:
https://github.com/openai/openai-python/issues/1310
See also the original thread on OpenAI's developer forums (linked on the GitHub issue) with confirmations from others.
A test code snippet is included in the GitHub issue to A/B test the problem yourself with your own questions if need be.
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Show HN: GritQL, a Rust CLI for rewriting source code
- Iterate on large codebases quickly: we use Rust for maximum performance
GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community.
[1] Ex. https://github.com/openai/openai-python/discussions/742
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Integrating AI chatbot💩 into your application in 2024 🧙🏻‍♂️🏆 is how easy? 🤔
Explore OpenAI and learn how to easily integrate it into your existing application with the OpenAI Python module.
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Need Help with OpenAI Upgrade: Seeking Guidance on 'openai.Completion' Deprecation Error
You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API. You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28` A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742
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Anthropic announces Claude 2.1 – 200k context, less refusals
Relatedly, I checked and OpenAI deleted all references to their ChatML spec from their GitHub repo.
This is what it said in an earlier commit: https://github.com/openai/openai-python/blob/2942bf4bb635b1e...
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Web scraping experiment with AI (Parsing HTML with GPT-4)
Make sure to install the OpenAI library first. Since I'm using Python, I need
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OpenAI: "We are dealing with periodic outages due to an abnormal traffic pattern reflective of a DDoS attack"
Source: https://github.com/openai/openai-python/discussions/742
- GitHub - openai/openai-python: The official Python library for the OpenAI API
- OpenAI Python v1 Released
sharegpt
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How Open is Generative AI? Part 2
Vicuna is another instruction-focused LLM rooted in LLaMA, developed by researchers from UC Berkeley, Carnegie Mellon University, Stanford, and UC San Diego. They adapted Alpaca’s training code and incorporated 70,000 examples from ShareGPT, a platform for sharing ChatGPT interactions.
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create the best coder open-source in the world?
We can say that a 13B model per language is reasonable. Then it means we need to create a democratic way for teaching coding by examples and solutions and algorithms, that we create, curate and use open-source. Much like sharegpt.com but for coding tasks, solutions ways of thinking. We should be wary of 'enforcing' principles rather showing different approaches, as all approaches can have advantages and disadvantages.
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Thank you ChatGPT
You can see the url in the comment, https://sharegpt.com and if you go there it gives you the option for installing the chrome extension, after that it shouldn’t be hard to use it
- The conversation started as what would AI do if it became self aware and humans tried to shut it down. The we got into interdimensional beings. Most profound GPT conversation I have had.
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Ăśbersicht aller nĂĽtzlichen Links fĂĽr ChatGPT Prompt Engineering
ShareGPT - Share your prompts and your entire conversations
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(Reverse psychology FTW) Congratulations, you've played yourself.
Or used https://sharegpt.com
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"Prompt engineering" is easy as shit and anybody who tells you otherwise is a fucking clown.
you can gets lots of ideas here > https://sharegpt.com/ (180,000+ prompts)
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I built a ChatGPT Mac app in just 20 minutes with no coding experience - thanks ChatGPT!
I would love to read the whole conversation: Check out this cool little GPT sharing extension: https://sharegpt.com - that way the code snippets can be copied easily
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Teaching ChatGPT to Speak My Son’s Invented Language
> Cool, that’s really the only point I’m making.
To be clear, I'm saying that I don't know if they are, not that we know that it's not the same.
It's not at all clear that humans do much more than "that basic token sequence prediction" for our reasoning itself. There are glaringly obvious auxiliary differences, such as memory, but we just don't know how human reasoning works, so writing off a predictive mechanism like this is just as unjustified as assuming it's the same. It's highly likely there are differences, but whether they are significant remains to be seen.
> Not necessarily scaling limitations fundamental to the architecture as such, but limitations in our ability to develop sufficiently well developed training texts and strategies across so many problem domains.
I think there are several big issues with that thinking. One is that this constraint is an issue now in large part because GPT doesn't have "memory" or an ability to continue learning. Those two need to be overcome to let it truly scale, but once they are, the game fundamentally changes.
The second is that we're already at a stage where using LLMs to generate and validate training data works well for a whole lot of domains, and that will accelerate, especially when coupled with "plugins" and the ability to capture interactions with real-life users [1]
E.g. a large part of human ability to do maths with any kind of efficiency comes down to rote repetition and generating large sets of simple quizzes for such areas is near trivial if you combine an LLM at tools for it to validate its answers. And unlike with humans where we have to do this effort for billions of humans, once you have an ability to let these models continue learning you make this investment in training once (or once per major LLM effort).
A third is that GPT hasn't even scratched the surface in what is available in digital collections alone. E.g. GPT3 was trained on "only" about 200 million Norwegian words (I don't have data for GPT4). Norwegian is a tiny language - this was 0.1% of GPT3's total corpus. But the Norwegian National Library has 8.5m items, which includes something like 10-20 billion words in books alone, and many tens of billions more in newspapers, magazines and other data. That's one tiny language. We're many generations of LLM's away from even approaching exhausting the already available digital collections alone, and that's before we look at having the models trained on that data generate and judge training data.
[1] https://sharegpt.com/
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Humans in Humans Out: GPT Converging Toward Common Sense in Both Success/Failure
of that conversation. Perhaps something like shareGPT[1] can help?
[1] https://sharegpt.com
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
ChatGPT - Lightweight package for interacting with ChatGPT's API by OpenAI. Uses reverse engineered official API.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
llm-workflow-engine - Power CLI and Workflow manager for LLMs (core package)
langchain - 🦜🔗 Build context-aware reasoning applications
unofficial-chatgpt-api - This repo is unofficial ChatGPT api. It is based on Daniel Gross's WhatsApp GPT
openai-node - The official Node.js / Typescript library for the OpenAI API
chatgpt-conversation - Have a conversation with ChatGPT using your voice, and have it talk back.
ChatGPT-AutoExpert - 🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
chatgpt-python - Unofficial Python SDK for OpenAI's ChatGPT