<?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>知识注入 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E7%9F%A5%E8%AF%86%E6%B3%A8%E5%85%A5/</link><description>Recent content in 知识注入 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>Fri, 26 Jun 2026 14:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E7%9F%A5%E8%AF%86%E6%B3%A8%E5%85%A5/index.xml" rel="self" type="application/rss+xml"/><item><title>RAG vs 微调：2026 年的场景选择指南</title><link>https://guijiagi.com/posts/rag-vs-fine-tuning-2026/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-vs-fine-tuning-2026/</guid><description>RAG 和微调不是非此即彼的选择，而是互补的知识注入策略。本文从 2026 年的实践视角，给出全场景决策框架。</description></item><item><title>Prompt Rules &amp; Knowledge：规则约束与知识注入的艺术</title><link>https://guijiagi.com/posts/prompt-rules-and-knowledge/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/prompt-rules-and-knowledge/</guid><description>系统性地掌握 Prompt 中规则约束和领域知识注入的技术，构建可靠可控的 AI 应用。</description></item></channel></rss>