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Re:Can LLMs invent better ways to train LLMs? by mdp2021 on Thursday June 13, 2024 @01:16AM (#40666184)
The uninformed preliminary answer instead is yes: loaded dice can produce better values.

The article is about using LLMs in an evolutionary framework to design better algorithms for LLM advancement, with particular occasional regard to preference optimization algorithms - and guess what, it seems it worked.

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