<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>动态计算 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E5%8A%A8%E6%80%81%E8%AE%A1%E7%AE%97/</link><description>Recent content in 动态计算 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 02 Jul 2026 10:56:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%8A%A8%E6%80%81%E8%AE%A1%E7%AE%97/index.xml" rel="self" type="application/rss+xml"/><item><title>混合深度(MoD)：动态计算深度</title><link>https://guijiagi.com/posts/mixture-of-depths-explained/</link><pubDate>Thu, 02 Jul 2026 10:56:00 +0800</pubDate><guid>https://guijiagi.com/posts/mixture-of-depths-explained/</guid><description>解析Mixture-of-Depth如何让模型按需调整计算深度，实现效率与性能的平衡</description></item><item><title>Mixture of Depths：让 Transformer 学会跳过冗余层</title><link>https://guijiagi.com/posts/mixture-of-depths/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/mixture-of-depths/</guid><description>深度解析 Mixture of Depths (MoD) 如何通过动态跳过冗余 Transformer 层，在保持性能的同时大幅提升推理效率。</description></item></channel></rss>