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English(EN) Can an automated system tune models better than the lab that built it? Adaption Labs says yes: its AutoScientist co-optimizes data and training recipe, self-imp

Adaption Labs的AutoScientist比研究人员调优模型效果好35%

作者 PulseAugur 编辑部 · [1 个来源] ·

Adaption Labs开发了AutoScientist，这是一个旨在优化AI模型训练的自动化系统。据报道，该系统在模型调优方面优于原始实验室研究人员，在内部评估中取得了35%的改进。AutoScientist通过共同优化训练数据和训练配方，并结合以往运行中的自我改进能力来实现这一点。 AI

影响 这种自动调优系统可以显著加速AI开发周期，并提高各种应用中模型的性能。

排序理由 新AI系统的产品发布，声称性能有所提升。[lever_c_demoted from significant: ic=1 ai=1.0]

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Adaption Labs的AutoScientist比研究人员调优模型效果好35%

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新AI系统的产品发布，声称性能有所提升。[lever_c_demoted from significant: ic=1 ai=1.0]
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    自动化系统能否比创建它的实验室更好地调整模型？Adaption Labs表示可以：其AutoScientist可共同优化数据和训练配方，实现自我改进

    Can an automated system tune models better than the lab that built it? Adaption Labs says yes: its AutoScientist co-optimizes data and training recipe, self-improves over past runs, and beats the lab's researchers by 35% on its own in-house evals. https:// benjaminhan.net/posts/2…

    链接 benjaminhan.net/…/20260606-autoscientist

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