<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Transformer优化 on AI内参</title>
    <link>https://www.neican.ai/tags/transformer%E4%BC%98%E5%8C%96/</link>
    <description>Recent content in Transformer优化 on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Mon, 08 Jun 2026 10:10:05 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/transformer%E4%BC%98%E5%8C%96/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>终结“思考账单”：隐式思维链（ICoT）如何让大模型的推理过程从显性走向“无形”</title>
      <link>https://www.neican.ai/insights/icot-20260608101005242-4/</link>
      <pubDate>Mon, 08 Jun 2026 10:10:05 +0800</pubDate>
      <guid>https://www.neican.ai/insights/icot-20260608101005242-4/</guid>
      <description>本研究通过Log-ICoT训练范式首次从数学上证明了Transformer可将显式思维链内化，这不仅解决了推理模型的高成本与高延迟难题，还预示着AI推理将向“极简输出、深邃内化”的范式转型。</description>
    </item>
  </channel>
</rss>
