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This guide helps anyone using large language models (LLMs) like ChatGPT who experiences issues with incorrect, outdated, or fabricated information (hallucinations).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.
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Use this if you are building applications with LLMs and need to ensure their responses are accurate, current, and sourced from specific, potentially private, knowledge.
Not ideal if you are solely interested in foundational LLM research or if your LLM application does not require external data integration or source verification.
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Sep 09, 2023
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