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github-actions[bot] authored Jul 4, 2024
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- [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/
- [X-PLUG/mPLUG-Owl](https://github.com/X-PLUG/mPLUG-Owl) - mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model
- [OpenGVLab/Ask-Anything](https://github.com/OpenGVLab/Ask-Anything) - [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
- [RManLuo/Awesome-LLM-KG](https://github.com/RManLuo/Awesome-LLM-KG) - Awesome papers about unifying LLMs and KGs
- [BAAI-DCAI/Bunny](https://github.com/BAAI-DCAI/Bunny) - A family of lightweight multimodal models.
- [embedchain/embedchain](https://github.com/embedchain/embedchain) - Memory for AI agents
- [enricoros/big-AGI](https://github.com/enricoros/big-AGI) - Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, cod
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- [ax-llm/ax](https://github.com/ax-llm/ax) - Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
- [Maximilian-Winter/llama-cpp-agent](https://github.com/Maximilian-Winter/llama-cpp-agent) - The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured ou
- [InternLM/xtuner](https://github.com/InternLM/xtuner) - An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
- [RManLuo/Awesome-LLM-KG](https://github.com/RManLuo/Awesome-LLM-KG) - Awesome papers about unifying LLMs and KGs
- [embedchain/embedchain](https://github.com/embedchain/embedchain) - Memory for AI agents
- [Blaizzy/mlx-vlm](https://github.com/Blaizzy/mlx-vlm) - MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
- [mlabonne/llm-course](https://github.com/mlabonne/llm-course) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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