Ep. 17 - Intro to Retrieval Augmented Generation (RAG)

Retrieval Augmented Generation (RAG) is the most efficient way to customize large language models like GPT-4 with your data. In this video, I explain what RAG is and how to use it at your company.
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PREVIOUS EPISODES REFERENCED IN THIS VIDEO
LLM RAG Demo: Formula 1 Rulebook
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[brianhauk]

Thank you for discussing these important practical issues. I agree that few people talking about RAG implementations mention everything requiring consideration and attention to meet user needs and be useful in production applications. The goal is to provide an accurate, sufficiently detailed response before the user goes elsewhere in search of it. Waiting users provided with very brief reports summarizing progress made towards generating the response they've asked for are motivated to remain patient and not give up on the process.

[eclecticshenanigans]

This video series is literally saving my career. Thank you for your thoughtful delivery of all things AI. 5 stars on yelp!