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Are you serious unaware what a RAG is and still speak with authority on the topic? It's automatically retrieving information and adding it to the context. It's
by ffsm8 1y ago
Are you serious unaware what a RAG is and still speak with authority on the topic?
It's automatically retrieving information and adding it to the context.
It's -in spirit- a convenience function so you don't have to manually provide it during the prompt. It's just a lot harder to pull off well automatically, but the fundamental practice is "just" context optimization
You're essentially saying "but that's not driving!!!!" After someone goes by in an EV, because it's ain't an ICE
- belter 1y agoNot the same: "RAG vs. Long-context LLMs" - https://www.superannotate.com/blog/rag-vs-long-context-llms https://www.superannotate.com/blog/rag-vs-long-context-llms
- ffsm8 1y agoYou're literally linking to an article that confirmed what I said. Yes, a model that has RAG will be able to perform with a lot smaller context size. That doesn't mean RAG isn't context optimization.
- belter 1y agoDid you made any technical argument on how to reduce hallucinations? Because I fail to see one from you on this thread except: "it's the fault of your prompt""