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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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