<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Industrial Applications on Chen Kai Blog</title><link>https://www.chenk.top/en/tags/industrial-applications/</link><description>Recent content in Industrial Applications on Chen Kai Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 06 Jul 2025 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/en/tags/industrial-applications/index.xml" rel="self" type="application/rss+xml"/><item><title>Transfer Learning (12): Industrial Applications and Best Practices</title><link>https://www.chenk.top/en/transfer-learning/12-industrial-applications-and-best-practices/</link><pubDate>Sun, 06 Jul 2025 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/transfer-learning/12-industrial-applications-and-best-practices/</guid><description>&lt;p>A three-person team at a fintech startup shipped a fraud-detection model in two weeks that outperformed the previous system built by 12 engineers over 6 months. The secret? They fine-tuned a pretrained transformer on 5,000 labeled transactions instead of architecting a rule-based ensemble from scratch. The model caught 23% more fraud in the first month while cutting false positives in half. When their VP of Engineering asked why the old team took so long, the answer was simple: they didn&amp;rsquo;t have transfer learning.&lt;/p></description></item></channel></rss>