rag-zero-to-hero-guide and A-Guide-to-Retrieval-Augmented-LLM

rag-zero-to-hero-guide
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A-Guide-to-Retrieval-Augmented-LLM
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Maintenance 0/25
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Language: Jupyter Notebook
License: Apache-2.0
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About rag-zero-to-hero-guide

KalyanKS-NLP/rag-zero-to-hero-guide

Comprehensive guide to learn RAG from basics to advanced.

This guide helps developers understand and implement Retrieval Augmented Generation (RAG) systems. It provides detailed explanations, practical examples, and tools for building RAG applications from scratch or with frameworks. You'll learn how to feed various data sources into a large language model and get accurate, contextually relevant outputs.

AI development LLM engineering NLP applications data retrieval machine learning systems

About A-Guide-to-Retrieval-Augmented-LLM

Wang-Shuo/A-Guide-to-Retrieval-Augmented-LLM

an intro to retrieval augmented large language model

This guide helps anyone using large language models (LLMs) like ChatGPT who experiences issues with incorrect, outdated, or fabricated information (hallucinations). It explains how to combine LLMs with external data sources to get more accurate, up-to-date, and verifiable answers. The primary audience for this guide is anyone who wants to improve the reliability and trustworthiness of LLM outputs for practical applications.

Large Language Models Information Retrieval Knowledge Management AI Application Development Content Generation

Related comparisons

rag-zero-to-hero-guide and rag-all-in-one rag-zero-to-hero-guide and RAG-Overview rag-zero-to-hero-guide and RAG-Playground rag-zero-to-hero-guide and RAG

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