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# Open-Source AI Cookbook
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- we cooking more
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+ The Open-Source AI Cookbook is a collection of notebooks illustrating practical aspects of building AI
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+ applications and solving various machine learning tasks using open-source tools and models.
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+ ## Latest notebooks
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+ Check out the recently added notebooks:
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+ - [ Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain] ( RAG_zephyr_langchain )
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+ - [ Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS] ( FAISS_with_HF_datasets_and_CLIP )
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+ - [ Fine-tuning a Code LLM on Custom Code on a single GPU] ( Fine_tuning_Code_LLM_on_single_GPU )
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+ - [ RAG Evaluation Using Synthetic data and LLM-As-A-Judge] ( RAG_evaluation )
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+ - [ Advanced RAG on HuggingFace documentation using LangChain] ( advanced_RAG )
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+ You can also check out the notebooks in the cookbook's [ GitHub repo] ( https://github.com/huggingface/cookbook ) .
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+ ## Contributing
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+ The Open-Source AI Cookbook is a community effort, and we welcome contributions from everyone!
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+ Check out the cookbook's [ Contribution guide] ( https://github.com/huggingface/cookbook/blob/main/README.md ) to learn
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+ how you can add your "recipe".
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