<?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>梯度爆炸 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%A2%AF%E5%BA%A6%E7%88%86%E7%82%B8/</link><description>Recent content in 梯度爆炸 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>Tue, 30 Jun 2026 09:20:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%A2%AF%E5%BA%A6%E7%88%86%E7%82%B8/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型训练稳定性：从Loss Spike到梯度爆炸的工程方案</title><link>https://guijiagi.com/posts/llm-training-stability/</link><pubDate>Tue, 30 Jun 2026 09:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-training-stability/</guid><description>深入分析大模型预训练过程中的稳定性问题，包括Loss Spike、梯度爆炸、训练崩溃等，并提供系统性解决方案</description></item></channel></rss>