<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>System Design on Han's XYZ</title><link>https://han8931.github.io/tags/system-design/</link><description>Recent content in System Design on Han's XYZ</description><generator>Hugo</generator><language>en</language><managingEditor>tabularasa8931@gmail.com (Han)</managingEditor><webMaster>tabularasa8931@gmail.com (Han)</webMaster><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Tue, 07 Oct 2025 10:42:45 +0900</lastBuildDate><atom:link href="https://han8931.github.io/tags/system-design/index.xml" rel="self" type="application/rss+xml"/><item><title>DL System Design</title><link>https://han8931.github.io/studynotes/dl-system-design/</link><pubDate>Sun, 07 Sep 2025 00:00:00 +0000</pubDate><author>tabularasa8931@gmail.com (Han)</author><guid>https://han8931.github.io/studynotes/dl-system-design/</guid><description>&lt;h1 id="-deep-learning-system-design"&gt;🏗️ Deep Learning System Design&lt;/h1&gt;
&lt;p&gt;👉 Repository: &lt;a href="https://github.com/Han8931/dl_system_design" target="_blank" rel="noopener noreffer "&gt;DL System Design&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;This note is about the &lt;strong&gt;practical design of deep learning and LLM-based systems&lt;/strong&gt;. It focuses on bridging research with production: covering concepts such as &lt;strong&gt;scalable architectures, model deployment, monitoring, and system reliability&lt;/strong&gt;. The aim is to capture design patterns and lessons that make ML/DL services both effective and maintainable.&lt;/p&gt;
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&lt;p&gt;I welcome all comments and suggestions—and I&amp;rsquo;d be happy to improve and grow this note together with you.&lt;/p&gt;</description></item></channel></rss>