<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Qwen on YennJ12 Engineering Blog</title><link>https://yennj12.js.org/yennj12_blog_V4/tags/qwen/</link><description>Recent content in Qwen on YennJ12 Engineering Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Fri, 13 Mar 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://yennj12.js.org/yennj12_blog_V4/tags/qwen/feed.xml" rel="self" type="application/rss+xml"/><item><title>開源 LLM Post-Training 全攻略：從 SFT 到 RLHF，手把手帶你訓練 Qwen</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/llm-post-training-approaches-open-source-zh/</link><pubDate>Fri, 13 Mar 2026 10:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/llm-post-training-approaches-open-source-zh/</guid><description>全面介紹開源 LLM 的 Post-Training 方法，包含 SFT、RLHF、DPO、ORPO、持續預訓練等技術，以 Qwen 為範例，深入分析各方法的優缺點、所需資源與適用場景，幫助你選擇最合適的訓練策略。</description></item></channel></rss>