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Hugging Face policy chief says evaluation methods are still immature

1 reports1 story updatesUpdated Oct 20 06:49

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Irene Solaiman, Chief Policy Officer at Hugging Face, said at TechCrunch Disrupt that embedded AI evaluators are not an easy solution, and that model evaluation methods are complex and still immature. She noted that evaluation methodology remains an evolving science, the industry does not yet know how to meaningfully compare evaluations with one another, and qualification standards in this area need to be raised substantially. She also mentioned that the reproducibility of evaluation results depends on open weights, that agentic evaluations are both difficult and expensive, and that the number of evaluations currently targeting models, harnesses, and whole agents is uneven.

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Hugging Face policy lead: Embedded AI evaluators are not an easy solution

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  1. Hugging Face policy lead says evaluation methods are still immature

    Source:TechCrunch AI

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Oct 20

  1. TechCrunch AI

    Hugging Face policy lead: Embedded AI evaluators are not an easy solution

    Hugging Face Chief Policy Officer Irene Solaiman said at TechCrunch Disrupt that embedded AI evaluators are not an easy solution, that evaluation methods remain an evolving science, that the industry does not yet know how to meaningfully compare them with one another, and that relevant qualification standards need to be raised substantially. She noted that the reproducibility of evaluation results depends on open weights, that agentic evaluation is both difficult and expensive, and that the number of evaluations currently targeting models, harnesses, and whole agents is uneven.

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