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English(EN) Picking the right agent harness is now a crucial skill for any AI engineer.

研究发现,代理框架和提示设计会严重影响AI代理的成本

一项新的基准测试显示,代理框架的选择和提示措辞对AI代理的成本和性能有显著影响。将相同的模型、任务和提示在不同的代理框架之间移动,每次成功的成本可能相差5到30倍。具体来说,鼓励模型开发和比较多种方法的提示,或通用的“深入思考”提示,会大大增加令牌使用量,但并不能提高正确性。然而,一种有界效率模板被证明是成本中性的,有时甚至将推理成本减半。 AI

影响 优化代理框架和提示设计可以为AI工程师带来显著的成本降低和效率提升。

排序理由 该集群讨论了一项基准测试和论文,分析了AI代理的性能和成本,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

在 X — Omar Sanseviero (HF research) 阅读 →

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

研究发现,代理框架和提示设计会严重影响AI代理的成本

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该集群讨论了一项基准测试和论文,分析了AI代理的性能和成本,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 ·

    为任何AI工程师挑选合适的代理工具现在已成为一项关键技能。

    Picking the right agent harness is now a crucial skill for any AI engineer. Imagine using the same model, same task, and same prompt. Now move it between two agent harnesses and the cost per success can swing by 5 to 30x. This benchmark measured this across six large reasoning …