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English(EN) It’s getting harder to tell which company is winning the AI race, Hugging Face co-founder says

Hugging Face联合创始人：AI基准测试已饱和，需要新方法

作者 PulseAugur 编辑部 · [1 个来源] ·

Hugging Face联合创始人Thomas Wolf表示，传统的AI基准测试正变得饱和，越来越难以区分OpenAI和Google等公司领先的AI模型。他建议行业应转向新的基准测试方法，侧重于模型的代理能力和特定用例。Hugging Face正在开发一个名为“Your Bench”的程序，以帮助用户评估适合其特定需求的模型。Wolf还强调了开源AI日益增长的重要性，并引用DeepSeek的表现作为开源社区的一个关键时刻。 AI

影响 建议AI模型评估方式的转变，可能影响领先实验室之间性能的衡量和比较方式。

排序理由 来自AI行业知名人士的评论，讨论了当前基准测试的局限性并提出了未来方向。

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Hugging Face联合创始人：AI基准测试已饱和，需要新方法

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报道来源 [1]

  1. Fortune TIER_1 English(EN) · Beatrice Nolan ·

    Hugging Face联合创始人表示，人工智能竞赛中哪家公司领先越来越难判断

    Hugging Face's Thomas Wolf says that it's getting harder to tell which AI model is the best as traditional AI benchmarks become saturated.

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