<?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>数据配比 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%95%B0%E6%8D%AE%E9%85%8D%E6%AF%94/</link><description>Recent content in 数据配比 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, 16 Jul 2026 10:40:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%95%B0%E6%8D%AE%E9%85%8D%E6%AF%94/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型预训练数据配比：如何科学地“喂”模型</title><link>https://guijiagi.com/posts/b2-5c290f1f/</link><pubDate>Thu, 16 Jul 2026 10:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-5c290f1f/</guid><description>深入探讨大模型预训练阶段的数据配比策略，涵盖语言比例、领域分布、课程学习与动态调整</description></item></channel></rss>