<?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>Opportunity Cost on Haxlys's Blog</title><link>https://hugo-blog-static-site.haxlys.workers.dev/frameworks/opportunity-cost/</link><description>Recent content in Opportunity Cost on Haxlys's Blog</description><generator>Hugo -- 0.152.2</generator><language>kr-ko</language><lastBuildDate>Wed, 29 Apr 2026 23:40:00 +0900</lastBuildDate><atom:link href="https://hugo-blog-static-site.haxlys.workers.dev/frameworks/opportunity-cost/index.xml" rel="self" type="application/rss+xml"/><item><title>학습할 것인가, 말 것인가 — Tanay Jaipuria가 정리한 AI 앱 회사의 모델 레이어 진입 가이드</title><link>https://hugo-blog-static-site.haxlys.workers.dev/posts/to-train-or-not-to-train/</link><pubDate>Wed, 29 Apr 2026 23:40:00 +0900</pubDate><guid>https://hugo-blog-static-site.haxlys.workers.dev/posts/to-train-or-not-to-train/</guid><description>Tanay Jaipuria의 &amp;#39;To Train or Not to Train&amp;#39;을 한국어로 정리한다 — AI 앱 회사가 모델 레이어로 풀스택화될 때, 사전학습은 피하고 post-training/RL을 언제·어떻게 시작해야 하는지, 그리고 베이스 모델 릴리즈 사이클이라는 가장 큰 리스크는 무엇인지.</description></item></channel></rss>