Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says
Summary
Hugging Face policy chief Irene Solaiman noted that current AI benchmarking methods remain complex and underdeveloped. Her comments highlight the ongoing challenges associated with accurately measuring and comparing the performance of different artificial intelligence products.
AI labs have staked their reputations on model benchmarking — the supposedly neutral and accurate system of evaluations that are designed to measure whether one AI product is better than another. However, the methods behind these evaluations are complicated and still maturing, said Irene Solaiman, Hugging Face’s chief policy officer, during a discussion at TechCrunch […]
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