Fine-tune embeddings on a resume PDF to enhance the accuracy and relevance of a Retrieval-Augmented Generation (RAG) pipeline for information retrieval.
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Updated
Aug 27, 2024 - Jupyter Notebook
Fine-tune embeddings on a resume PDF to enhance the accuracy and relevance of a Retrieval-Augmented Generation (RAG) pipeline for information retrieval.
The RAG Pipeline with BeyondLLM project utilizes advanced AI to transform English YouTube videos into structured, actionable insights, integrating cutting-edge retrieval techniques and language models to deliver accurate and relevant responses. Ideal for AI enthusiasts, it emphasizes continuous learning and real-world application.
This repo is for an streamlit application that provides a user-friendly interface for evaluating large language models (LLMs) using the beyondllm package.
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