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English(EN) Tsinghua and Zhipu's HarnessPro Lets Agents Rewrite Their Own Harness, Cutting Task Costs 26%

清华与智谱AI的HarnessPro通过自改进代理将AI任务成本降低26%

清华大学和智谱AI的研究人员开发了HarnessPro,一个能够让AI代理自主改进其自身执行框架的系统。通过分析过去的表现而无需依赖真实数据,HarnessPro可以重写自己的框架,从而将任务成本降低26.1%,并将通过率提高2个百分点。 AI

影响 这项开发可以通过实现AI代理运营框架的自优化,从而带来更高效、更具成本效益的AI代理部署。

排序理由 该集群描述了由学术和AI研究机构开发的一个新系统,该系统提高了AI代理的性能和效率。[lever_c_demoted from research: ic=1 ai=1.0]

在 Pandaily 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

清华与智谱AI的HarnessPro通过自改进代理将AI任务成本降低26%

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该集群描述了由学术和AI研究机构开发的一个新系统,该系统提高了AI代理的性能和效率。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    清华与智谱的HarnessPro让代理重写自身Harness,任务成本降低26%

    HarnessPro, from Tsinghua, Zhipu and partners, has agents study their own runs and rewrite their harness without reference answers, raising pass rates 2 points and cutting cost per task 26.1%.