<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine-Learning | Ruqi Bai</title><link>https://ruqibai.netlify.app/tags/machine-learning/</link><atom:link href="https://ruqibai.netlify.app/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>Machine-Learning</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 02 Sep 2025 00:00:00 +0000</lastBuildDate><image><url>https://ruqibai.netlify.app/media/icon_hu_2b174297ab597320.png</url><title>Machine-Learning</title><link>https://ruqibai.netlify.app/tags/machine-learning/</link></image><item><title>MLE @ Apple</title><link>https://ruqibai.netlify.app/blog/apple/</link><pubDate>Tue, 02 Sep 2025 00:00:00 +0000</pubDate><guid>https://ruqibai.netlify.app/blog/apple/</guid><description>&lt;p&gt;I&amp;rsquo;ve joined the AKI team at Apple as a Machine Learning Engineer to work on improving Apple Intelligence!&lt;/p&gt;
&lt;p&gt;I am currently part of the LLM Summarizer team, focusing on post-training models using techniques like SFT, RL, and Prompt Optimization. I&amp;rsquo;m also heavily involved in reranking methods like listwise and pairwise learning. Super excited to be building and aligning state-of-the-art models here.&lt;/p&gt;</description></item></channel></rss>