2min chapter

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Large Language Models in Production Round-table Conversation

MLOps.community

CHAPTER

The Trade-Offs of Learning ML to Do ML

Every open-source language model comes with it its own tokenizer as an example. You have your actual item that has like send and even like fitting those pieces together is in the whole challenge. So I think there's a lot of people sort of on the sideline once you get to that level of complexity because it's suddenly like yeah. We've told everybody you don't need to learn ML to do ML and then it's like oh out of their mind.

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