MLCommons
@mlcommons.org did:plc:uavs3b5de27ki26k5usmqtxz
MLCommons is an AI engineering consortium, built on a philosophy of open collaboration to improve AI systems. Through our collective engineering efforts, we continually measure and improve AI technologies' accuracy, safety, speed, and efficiency.
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MLCommons (@mlcommons.org) ist seit 21 November 2024 auf Bluesky. Das Konto hat 215 Follower, folgt 56 Konten und hat 236 Posts veröffentlicht.
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@mlcommons.org maintains a few repositories of people’s speech for AI training (which was done consensually and is made open). I’m sure there’s places that would love to maintain this archive if provided.
Post anzeigenMLPerf Inference 6.0 results are out! Lots of new goodness here, including a bunch of new benchmark tests (and models) and some very large clusters reaching new peak performance numbers.
Post anzeigenSo proud to co‑chair this work. It has been almost two years in the making and I'm grateful to the many brilliant colleagues who contributed their ideas, feedback, and energy.
Post anzeigenAnnouncing our latest paper: CommonLID In collaboration with @commoncrawl.bsky.social @mlcommons.org @jhu.edu we built a LID benchmark on actual Common Crawl text covering 109 languages. Existing evaluations overestimate how well LangID works on web data. arxiv.org/abs/2601.18026
Post anzeigenWe’re doing testing on jailbreaking most of the modern Agentic interfaces today at @mlcommons.org. You can take a look at some of our artifacts here: mlcommons.org/ailuminate/j... Suffice it to say, these types of exploits are real (as you’ve noted), very dangerous (again, noted) & persistent
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