From 4c78fd2d84b8fea6131630f91a1f147717f3a939 Mon Sep 17 00:00:00 2001 From: Mishig Davaadorj Date: Thu, 15 Feb 2024 16:35:25 +0100 Subject: [PATCH] user lowercase --- notebooks/en/_toctree.yml | 10 +++++----- notebooks/en/index.md | 10 +++++----- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/notebooks/en/_toctree.yml b/notebooks/en/_toctree.yml index 14e76918..09825b25 100644 --- a/notebooks/en/_toctree.yml +++ b/notebooks/en/_toctree.yml @@ -2,13 +2,13 @@ sections: - local: index title: Open-Source AI Cookbook - - local: FAISS_with_HF_datasets_and_CLIP + - local: faiss_with_hf_datasets_and_clip title: Embedding multimodal data for similarity search - - local: Fine_tuning_Code_LLM_on_single_GPU + - local: fine_tuning_code_llm_on_single_gpu title: Fine-tuning a Code LLM on Custom Code on a single GPU - - local: RAG_zephyr_langchain + - local: rag_zephyr_langchain title: Simple RAG using Hugging Face Zephyr and LangChain - - local: advanced_RAG + - local: advanced_rag title: Advanced RAG on HuggingFace documentation using LangChain - - local: RAG_evaluation + - local: rag_evaluation title: RAG Evaluation diff --git a/notebooks/en/index.md b/notebooks/en/index.md index a06b6aff..b9b2a530 100644 --- a/notebooks/en/index.md +++ b/notebooks/en/index.md @@ -7,11 +7,11 @@ applications and solving various machine learning tasks using open-source tools Check out the recently added notebooks: -- [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](RAG_zephyr_langchain) -- [Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS](FAISS_with_HF_datasets_and_CLIP) -- [Fine-tuning a Code LLM on Custom Code on a single GPU](Fine_tuning_Code_LLM_on_single_GPU) -- [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](RAG_evaluation) -- [Advanced RAG on HuggingFace documentation using LangChain](advanced_RAG) +- [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](rag_zephyr_langchain) +- [Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS](faiss_with_hf_datasets_and_clip) +- [Fine-tuning a Code LLM on Custom Code on a single GPU](fine_tuning_code_llm_on_single_gpu) +- [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](rag_evaluation) +- [Advanced RAG on HuggingFace documentation using LangChain](advanced_rag) You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).