2min chapter

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2023 Big Ideas in Technology (Part 1)

a16z Podcast

CHAPTER

The Future of Language Models

The real answer is likely that it's use case dependent. You know, I think one of the exciting aspects of the LLMs is that they've really democratized access to large and expensive models. Not everyone will go down the route of attempting to build a model of that size. The real question is which use cases need what and how much will it cost? And how do you trade that off between control, having in-house talent, and not relying on an independent vendor versus just being able to move really fast?

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