<?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>AI on MK's Lab</title><link>https://blog.mklee.org/categories/ai/</link><description>Recent content in AI on MK's Lab</description><generator>Hugo -- 0.146.0</generator><language>zh-tw</language><lastBuildDate>Sat, 09 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.mklee.org/categories/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>從 Anthropic 三人對談到我的 8 行 patch</title><link>https://blog.mklee.org/posts/2026-05-09-anthropic-podcast-tombstone-patch/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/2026-05-09-anthropic-podcast-tombstone-patch/</guid><description>Anthropic Building the future of agents with Claude 對談看完，把可借鑑的 context pruning 和 observability 落地到自己的個人 agent。</description></item><item><title>讓 AI Agent 的技能自我進化：用 GEPA 自動優化 SKILL.md</title><link>https://blog.mklee.org/posts/2026-03-gepa-skill-evolution/</link><pubDate>Tue, 24 Mar 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/2026-03-gepa-skill-evolution/</guid><description>借鏡 ICLR 2026 的 GEPA 論文，用 MiniMax M2.5 建了一套 skill 自動演化 pipeline。blog-writer 從 84 分提升到 95 分，但過程中學到的教訓比分數本身更有價值。</description></item><item><title>AI Agent 記憶品質：用數據決定什麼該記、什麼該忘</title><link>https://blog.mklee.org/posts/memory-quality-score/</link><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/memory-quality-score/</guid><description>記憶清理不能只看日期。用搜尋命中追蹤建立 Memory Quality Score，讓過期歸檔有數據依據，活躍記憶自動保護。</description></item></channel></rss>