The rise of large language models & how to capitalize on it

Generative AI is taking the world by storm. However, one of the first challenges organizations face in deploying large language models (LLMs) is how to make LLMs understand their proprietary enterprise data. Retrieval augmented generation (RAG) is the leading technique for enhancing LLMs with enterprise data. For example, to ensure chatbots that are powered by LLMs are responding with accurate, relevant responses, companies use RAG to give LLMs domain-specific knowledge drawn from user manuals or support documents.

This compact guide to RAG will explain how to build a generative AI application using LLMs that have been augmented with enterprise data.

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Vendor:: DataBricks
Posted:: Feb 14, 2024
Published:: Feb 14, 2024
Format:: HTML
Type:: eBook

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