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Efficient multi-prompt evaluation of LLMs

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​In this session, we welcome Felipe Polo from the University of Michigan, who co-authored the paper "Efficient multi-prompt evaluation of LLMs".

​The paper can be found here. 

​The research introduces PromptEval,  a new method for estimating performance across a large set of prompts, borrowing strength across prompts and examples to produce accurate estimates under practical evaluation budgets.

​See you there!

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Presented by
Unify
Continual learning for AI teams.
Hosted By