<?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>数据评估 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%95%B0%E6%8D%AE%E8%AF%84%E4%BC%B0/</link><description>Recent content in 数据评估 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>Mon, 13 Jul 2026 01:30:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%95%B0%E6%8D%AE%E8%AF%84%E4%BC%B0/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型训练数据的质量评估框架：从数据到智能的基石</title><link>https://guijiagi.com/posts/article-52/</link><pubDate>Mon, 13 Jul 2026 01:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-52/</guid><description>系统性介绍大模型训练数据质量评估的多维框架，包括准确性、多样性、时效性、安全性等核心维度</description></item></channel></rss>