dev-gpt
openai-cookbook
dev-gpt | openai-cookbook | |
---|---|---|
25 | 216 | |
1,661 | 56,644 | |
2.5% | 2.2% | |
9.2 | 9.5 | |
10 months ago | 4 days ago | |
Python | MDX | |
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.
dev-gpt
- I'll build your AI app for you free of charge(Yes, there's a catch).
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What are the best AI tools you've ACTUALLY used?
Jina DevGPT: A Python package for GPT research.
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🌈 Rainbow Tweet Chrome Plugin (Python Backend)
I'm happy to announce Rainbow Tweet 🌈 - turn hate speech into fluffy rainbow speech! ✨ https://chrome.google.com/webstore/detail/rainbow-tweet/ckjindkmeaoifikfdcjlffmaajjfbddh?hl=en Just click on the icon of the extension, insert your openai-api-key and start turning your Twitter experience into a kaleidoscope of kindness, spreading warmth and positivity 🌈💕🦋🕊️🎈 Backend made by Dev-GPT: https://github.com/jina-ai/dev-gpt (using python and #langchain)
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20 years from now, the only people who will remember that you worked late are your kids
What do you think? Am I overreacting, or is it a valid point? Looking at repos like this is both astounding and scary at the same time: https://github.com/jina-ai/dev-gpt It is automizing the work of a junior developer.
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Fundamental LangChain Question
How you use it is up to you. There are hundreds of question answer clones with different data source adapters. Some projects that I found more interesting: https://github.com/GreyDGL/PentestGPT https://github.com/jina-ai/dev-gpt https://github.com/corca-ai/EVAL You can probably build something similar to smol developer with langchain too.
- Dev-GPT – your personal Junior Developer
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Use Python to Remove Passive Aggressiveness from Tweets (powered by Dev-GPT)
Online demo: https://gptdeploy-02e02e4150.wolf.jina.ai/playground/ Create something like this yourself: https://github.com/jina-ai/dev-gpt
- Guys, be honest with me. Is this AGI replacing me as a programmer?
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15 tips and tricks for writing better Python
I think the best trick is to use Dev-GPT and let GPT-4 write the code for you :D https://github.com/jina-ai/dev-gpt
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Hackathon Ideas? Gen AI
Look up langchain. Some example projects. https://github.com/corca-ai/EVAL https://github.com/jina-ai/dev-gpt https://github.com/GreyDGL/PentestGPT https://blog.langchain.dev/origin-web-browser/
openai-cookbook
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Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
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Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
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How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
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Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
chatGPTBox - Integrating ChatGPT into your browser deeply, everything you need is here
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
MetaGPT - 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
phoenix - AI Observability & Evaluation
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
PentestGPT - A GPT-empowered penetration testing tool
askai - Command Line Interface for OpenAi ChatGPT
dust - Amplify your team's potential with customizable and secure AI assistants.
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows