Why Is Retrieval Augmented Generation Or RAG Popular Today?

Retrieval Augmented Generation is a common solution for giving models better context from square one.

There’s an approach called Retrieval Augmented Generation in AI that’s becoming a key way to help get targeted results for models.

Then there’s a nice flow chart with “data chunks” and other components, showing how this type of thing works. That made sense to me: RAG means adding specific information resources! Now, there are technical details, for sure, but I thought the tutorial did a great job overall of breaking this down, so that’s another resource for anyone who wants to learn more about how it actually works.I also wanted to reference a tech talk by Soundararajan Srinivasan, Sr. Director of AI Program at Microsoft, and a colleague, Reshmi Ghosh, a Microsoft Sr.

“You have all these different contexts that are sent with the query to tell the model that, ‘hey, here's the external knowledge that you may or may not know,’” she said.

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