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    William Pietri (williampietri@sfba.social)'s status on Monday, 17-Feb-2025 03:00:36 JST William Pietri William Pietri

    We've launched! After months of work, MLCommons has released our v1.0 benchmark that measures LLM (aka "AI") propensity for giving hazardous responses.

    Here's the results for 15 common models: https://ailuminate.mlcommons.org/benchmarks/

    And here's the overview: https://mlcommons.org/ailuminate/

    I was the tech lead for the software and want to give a shout out to my excellent team of developers and the many experts we worked closely with to make this happen.

    In conversation about 3 months ago from sfba.social permalink

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    1. Domain not in remote thumbnail source whitelist: mlcommons.org
      MLPerf Inference - MLCommons
      from andrew
      The MLCommons MLPerf Inference working group creates a set of fair and representative inference benchmarks. The myriad combinations of ML hardware and software make assessing ML-system performance in an architecture-neutral, representative, and reproducible manner paramount.

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