A Principal s Reflections: diferenças entre revisões

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Revisão das 20h16min de 27 de março de 2025

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Then they followed up with the 10 firms to see in the event that they needed to contest any of the scores. "Labor in AI is a habitually opaque matter. Spectrum contacted representatives from a range of corporations featured on this index; none of them had replied to requests for remark as of our deadline. "In just a few circumstances, there was some information we had missed," says Bommasani. The model Bloomz from the developer Hugging Face acquired the very best score in this explicit category, with 60 %; none of the other fashions scored above forty p.c, and several acquired a zero. And perhaps unsurprisingly, the transparency index showed that almost all companies haven't been forthcoming about their data. A heatmap exhibits how the ten models did on classes starting from data to influence. The provenance of coaching data for basis models has grow to be a scorching subject, with several lawsuits alleging that AI corporations illegally included authors’ copyrighted material of their coaching information sets.

The highest total score goes to Meta’s Llama 2, with fifty four out of 100. In class, that’d be thought-about a failing grade. "As the influence goes up, the transparency of these models and companies goes down," he says. The 100 metrics of transparency (listed in full in the blog put up) include upstream components referring to coaching, data about the model’s properties and operate, and downstream elements concerning the model’s distribution and use. Rishi Bommasani, a PhD candidate at Stanford’s CRFM and one of the undertaking leads, says the index is an effort to combat a troubling trend of the past few years. "It is not enough, as many governments have asked, for a corporation to be clear when it releases the model," says Kevin Klyman, a analysis assistant at Stanford’s CRFM and a coauthor of the report. To grade the fashions on the a hundred indicators, the researchers searched the publicly obtainable information, giving the models a 1 or zero on each indicator in accordance with predetermined thresholds. They didn’t do so well.