From the course: ChatGPT: Crafting Exceptional GPTs for Enhanced Productivity and Innovation

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GPTs and ChatGPT: Enhancing performance with retrieval-augmented generation

GPTs and ChatGPT: Enhancing performance with retrieval-augmented generation - ChatGPT Tutorial

From the course: ChatGPT: Crafting Exceptional GPTs for Enhanced Productivity and Innovation

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GPTs and ChatGPT: Enhancing performance with retrieval-augmented generation

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- One of the things that really helps to understand is how these models incorporate information? 'Cause a lot of people think that you have to train a model on the information that it's going to use to reason. And as we've already seen, we don't have to do that. We can go and give it new information. But I really want to kind of take a moment to really drill into this point a little bit more and talk about an important concept called retrieval-augmented generation or RAG. It is a complicated-sounding term. Underneath the hood, there is some complexity to it, but at a high level, most people don't need to understand the deep technical details. You just want to understand what it is, how it works, and how it benefits you, particularly when you're trying to build a custom GPT or some other large language model that's customized to a particular information set without being trained from scratch. Most of the time, most organizations do not need to fine-tune or customize a model by…

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