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sections :
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- local : index
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title : Open-Source AI Cookbook
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- - local : FAISS_with_HF_datasets_and_CLIP
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+ - local : faiss_with_hf_datasets_and_clip
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title : Embedding multimodal data for similarity search
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- - local : Fine_tuning_Code_LLM_on_single_GPU
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+ - local : fine_tuning_code_llm_on_single_gpu
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title : Fine-tuning a Code LLM on Custom Code on a single GPU
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- - local : RAG_zephyr_langchain
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+ - local : rag_zephyr_langchain
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title : Simple RAG using Hugging Face Zephyr and LangChain
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- - local : advanced_RAG
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+ - local : advanced_rag
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title : Advanced RAG on HuggingFace documentation using LangChain
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- - local : RAG_evaluation
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+ - local : rag_evaluation
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title : RAG Evaluation
Original file line number Diff line number Diff line change @@ -7,11 +7,11 @@ applications and solving various machine learning tasks using open-source tools
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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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+ - [ 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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