<?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>DeepSeek on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/deepseek/</link><description>Recent content in DeepSeek on TPOW Lab</description><generator>Hugo</generator><language>en</language><copyright>Copyright &amp;copy; 2025-2026 TPOW-001. All Rights Reserved.</copyright><lastBuildDate>Fri, 05 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tpow-001.netlify.app/tags/deepseek/index.xml" rel="self" type="application/rss+xml"/><item><title>Tutorial: deepforestsci/DeepRetro — LLM 驅動遞歸逆合成完整解析</title><link>https://tpow-001.netlify.app/post/2026-06-05-deepretro-tutorial/</link><pubDate>Fri, 05 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-05-deepretro-tutorial/</guid><description><![CDATA[<h1 id="deepretro-完整教學" data-numberify>DeepRetro 完整教學<a class="anchor ms-1" href="#deepretro-完整教學"></a></h1>
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<p><strong>本文目的</strong>：把 DeepRetro 的「為什麼要用 LLM 做逆合成」、「整個 pipeline 怎麼運作」、「怎麼跑起來然後接進你的 lead optimization 工作流」一次講清楚。重點放在<strong>架構理解、實務操作、幻覺防護機制、以及對你場景的適用性評估</strong>。</p>]]></description></item></channel></rss>