Concepts and examples on using and training LLMs
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Updated
May 27, 2024 - Jupyter Notebook
Concepts and examples on using and training LLMs
Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2
Explore the cutting-edge world of advanced retriever and generator (RAG) models through the "Advanced-RAG-Experiments" repository. This collection of Jupyter notebooks and experiments is designed to provide a deep dive into the capabilities and nuances of advanced RAG models in the field of natural language processing.
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
A notebook I used to conclude my grandfather's WWII journal using LlamaIndex
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