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English(EN) This paper shows why I am skeptical of the idea that frontier models can be easily replaced by cheaper ones (and why you should use the best models as orchestra

Ethan Mollick 质疑用更廉价的替代品取代前沿人工智能模型

Ethan Mollick 对前沿人工智能模型可以轻易被成本较低的替代品取代的说法表示怀疑。他认为,即使是这些先进模型在准确性和判断力方面微小的提升,也能在结果和错误减少方面带来显著的改进,尤其是在跨越较长时间的任务中。Mollick 建议,将最强大的模型用作编排者是一种更有效的策略。 AI

影响 表明顶级人工智能模型的性能提升对于复杂、长周期的任务至关重要,这可能会影响组织选择和部署人工智能的方式。

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在 Bluesky Jetstream — AI desk 阅读 →

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Ethan Mollick 质疑用更廉价的替代品取代前沿人工智能模型

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报道来源 [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · emollick.bsky.social ·

    这篇论文解释了我为何对“前沿模型易被廉价模型取代”的观点持怀疑态度(以及为何你应该使用最佳模型作为管弦乐

    This paper shows why I am skeptical of the idea that frontier models can be easily replaced by cheaper ones (and why you should use the best models as orchestrators): Small improvements in accuracy & judgement compound over long-horizon tasks, creating huge gains in outcomes and …