<?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>AIImplementation on TechLLM</title><link>https://techllm.github.io/tags/aiimplementation/</link><description>Recent content in AIImplementation on TechLLM</description><generator>Hugo</generator><language>ko</language><lastBuildDate>Sat, 02 May 2026 15:00:00 +0900</lastBuildDate><atom:link href="https://techllm.github.io/tags/aiimplementation/index.xml" rel="self" type="application/rss+xml"/><item><title>AI 에이전트 도입의 진짜 난관은 모델이 아니라 조직이다</title><link>https://techllm.github.io/posts/mit-ai-agents-heavy-lifts/</link><pubDate>Sat, 02 May 2026 15:00:00 +0900</pubDate><guid>https://techllm.github.io/posts/mit-ai-agents-heavy-lifts/</guid><description>MIT Sloan의 AI 에이전트 배포 연구를 바탕으로, 실제 조직에서 에이전틱 AI를 운영할 때 필요한 다섯 가지 heavy lift를 정리한다.</description></item></channel></rss>