machinelearningzuu/RAG-University
Welcome to the RAG University repository! This repository contains code implementations for Retrieval-Augmented Generation (RAG) models, specifically designed for Language Model (LM) tasks. RAG models combine the strengths of both retrieval and generation approaches, enhancing the capabilities of LLMs.
This project helps developers enhance the performance of Large Language Models (LLMs) for various natural language processing tasks. It takes an existing LLM and external knowledge sources as input, then generates more contextually relevant and accurate responses. Developers working with LLMs will find this useful for building more intelligent applications.
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Use this if you are a developer looking to improve the accuracy and relevance of responses generated by your Large Language Models by incorporating external information.
Not ideal if you are looking for a ready-to-use application and do not have programming experience with integrating machine learning models.
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Dec 18, 2023
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