<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>性能度量 on AI内参</title>
    <link>https://www.neican.ai/tags/%E6%80%A7%E8%83%BD%E5%BA%A6%E9%87%8F/</link>
    <description>Recent content in 性能度量 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Tue, 09 Jun 2026 21:10:07 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/%E6%80%A7%E8%83%BD%E5%BA%A6%E9%87%8F/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>重构人工智能的尺度：为什么「推理预算」将取代单一分数成为衡量智能的新基准</title>
      <link>https://www.neican.ai/insights/article-20260609211007224-2/</link>
      <pubDate>Tue, 09 Jun 2026 21:10:07 +0800</pubDate>
      <guid>https://www.neican.ai/insights/article-20260609211007224-2/</guid>
      <description>文章深度解析了Noam Brown提出的“推理预算”概念，指出AI能力评估应从单一基准分数转向性能-成本动态曲线。这一范式转变不仅重塑了AI产业的选型逻辑，也为人工智能安全治理提供了更科学、前瞻的测量维度。</description>
    </item>
  </channel>
</rss>
