<?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>梯度 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%A2%AF%E5%BA%A6/</link><description>Recent content in 梯度 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, 25 Jun 2026 12:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%A2%AF%E5%BA%A6/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型训练稳定性：梯度爆炸、Loss Spike 与恢复策略</title><link>https://guijiagi.com/posts/training-stability/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/training-stability/</guid><description>深入分析大语言模型训练中的稳定性问题，涵盖梯度爆炸/消失、Loss Spike、数值不稳定等原因诊断与解决方案。</description></item></channel></rss>