<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning on Victor Laurance - Software Engineer</title><link>https://laurance.dev/en/tags/deep-learning/</link><description>Recent content in Deep Learning on Victor Laurance - Software Engineer</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 22 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://laurance.dev/en/tags/deep-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>How Generative AIs (LLMs) Actually Work</title><link>https://laurance.dev/en/blog/funcionamento-llms/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://laurance.dev/en/blog/funcionamento-llms/</guid><description>&lt;p>Whenever someone asks me, &amp;ldquo;how does ChatGPT actually work?&amp;rdquo;, I typically encounter two ready-made answers: either &amp;ldquo;it&amp;rsquo;s magic&amp;rdquo; disguised as an explanation, or a deep dive into advanced linear algebra and calculus that loses the listener by the second sentence. It doesn&amp;rsquo;t have to be that way. It is entirely possible to explain it clearly—without simplifying to the point of falsehood, and without requiring a math degree. That is what I aim to do here.&lt;/p></description></item></channel></rss>