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awesome-stars category by topic update by github actions cron, create…
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github-actions[bot] authored Aug 29, 2024
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- [azure](#azure)
- [bash](#bash)
- [c](#c)
- [chatbot](#chatbot)
- [chatgpt](#chatgpt)
- [chrome](#chrome)
- [chrome-extension](#chrome-extension)
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- [ggreer/the_silver_searcher](https://github.com/ggreer/the_silver_searcher) - A code-searching tool similar to ack, but faster.
- [FFmpeg/FFmpeg](https://github.com/FFmpeg/FFmpeg) - Mirror of https://git.ffmpeg.org/ffmpeg.git

## chatbot

- [X-PLUG/mPLUG-Owl](https://github.com/X-PLUG/mPLUG-Owl) - mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
- [InternLM/xtuner](https://github.com/InternLM/xtuner) - An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
- [haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA) - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
- [cpacker/MemGPT](https://github.com/cpacker/MemGPT) - Create LLM agents with long-term memory and custom tools 📚🦙
- [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- [snexus/llm-search](https://github.com/snexus/llm-search) - Querying local documents, powered by LLM
- [SALT-NLP/LLaVAR](https://github.com/SALT-NLP/LLaVAR) - Code/Data for the paper: "LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding"
- [stanford-oval/WikiChat](https://github.com/stanford-oval/WikiChat) - WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
- [run-llama/rags](https://github.com/run-llama/rags) - Build ChatGPT over your data, all with natural language
- [microsoft/autogen](https://github.com/microsoft/autogen) - A programming framework for agentic AI 🤖

## chatgpt

- [microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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