<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Natural-Language-Processing on Tee Zhi Yao</title><link>https://teezhiyao.com/tags/natural-language-processing/</link><description>Recent content in Natural-Language-Processing on Tee Zhi Yao</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 11 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://teezhiyao.com/tags/natural-language-processing/feed.xml" rel="self" type="application/rss+xml"/><item><title>OMSCS: CS 7650 Natural Language (Fall 2025)</title><link>https://teezhiyao.com/posts/omscs-cs-7650-natural-language-fall-2025/</link><pubDate>Thu, 11 Dec 2025 00:00:00 +0000</pubDate><guid>https://teezhiyao.com/posts/omscs-cs-7650-natural-language-fall-2025/</guid><description>&lt;p>Taking Natural Language Processing in Fall 2025 was a mixed experience. I&amp;rsquo;d taken a similar course during undergrad, and there was significant overlap — enough that a good portion of the material felt like revisiting ground I&amp;rsquo;d already covered. That said, the deeper dive into Transformers and attention mechanisms was new and genuinely useful.&lt;/p>
&lt;h2 id="course-snapshot">Course Snapshot&lt;/h2>
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&lt;td>&lt;strong>Course&lt;/strong>&lt;/td>
&lt;td>CS 7650 Natural Language&lt;/td>
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&lt;td>&lt;strong>Term&lt;/strong>&lt;/td>
&lt;td>Fall 2025&lt;/td>
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&lt;td>&lt;strong>Credits&lt;/strong>&lt;/td>
&lt;td>3&lt;/td>
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&lt;h2 id="why-i-took-it">Why I Took It&lt;/h2>
&lt;p>I&amp;rsquo;ve always been drawn to language — how we communicate, how meaning is constructed, why the same sentence can mean different things in different contexts. NLP sits at the intersection of that human interest and the machine learning techniques I&amp;rsquo;ve been building up through OMSCS. Plus, with LLMs becoming ubiquitous, I wanted a proper academic foundation for understanding what&amp;rsquo;s happening under the hood — not just the API-calling layer.&lt;/p></description></item></channel></rss>