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English(EN) Great talk from Yogish Baliga "From Vim (:wq) to 'You're absolutely right!'" tracing 20+ years of software engineering evolution.

开源模型缩小与闭源模型的差距,主导智能体工作负载

Yogish Baliga 讨论了二十年来软件工程的演变,强调了开源模型和闭源模型之间日益增长的均等性。他指出,开源模型在迭代使用中通常可以匹配甚至超越闭源模型的质量。此外,Baliga 观察到在智能体工作负载方面,开源模型的使用显著增加,这体现在它们在 Vercel 的 AI Gateway 上的采用率不断提高。 AI

影响 开源模型在与闭源模型的竞争中越来越有优势,并正成为智能体工作负载的首选,这标志着人工智能开发和部署的转变。

排序理由 该条目是对开源与闭源模型现状以及软件工程演变的评论,而非直接发布或产品公告。

在 X — Together (inference / OSS) 阅读 →

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

开源模型缩小与闭源模型的差距,主导智能体工作负载

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该条目是对开源与闭源模型现状以及软件工程演变的评论,而非直接发布或产品公告。
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报道来源 [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Yogish Baliga 的精彩演讲“从 Vim (:wq) 到‘你说得太对了!’”追溯了 20 多年的软件工程演变。

    Great talk from Yogish Baliga "From Vim (:wq) to 'You're absolutely right!'" tracing 20+ years of software engineering evolution. Highlights: 1/ open-weight models have closed the gap with closed models for most use cases 2/ open models often pass closed model quality with ht…