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Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says

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In brief

  1. Embedded AI evaluators won’t solve current benchmarking challenges.
  2. Model evaluation methods remain complex and still maturing.
  3. Hugging Face highlights the lack of neutrality and simplicity in these processes.

AI model evaluation methods remain complex and still evolving, according to Irene Solaiman, Hugging Face’s policy chief. She warns against assuming embedded evaluators could provide simple, neutral solutions to these challenges.

This summary gives you the essentials. The full article, its figures and quotes are on AI News & Artificial Intelligence | TechCrunch.

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