<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Transformer on Samarthya</title><link>https://samarthya.me/tags/transformer/</link><description>Recent content in Transformer on Samarthya</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© Samarthya 2018-2026. All rights reserved.</copyright><lastBuildDate>Sat, 31 Jan 2026 12:00:00 +0000</lastBuildDate><atom:link href="https://samarthya.me/tags/transformer/index.xml" rel="self" type="application/rss+xml"/><item><title>Two Students, Two Talents: The Story of How AI Learns Language</title><link>https://samarthya.me/posts/two-students-two-talents-the-story-of-how-ai-learns-language/</link><pubDate>Sat, 31 Jan 2026 12:00:00 +0000</pubDate><guid>https://samarthya.me/posts/two-students-two-talents-the-story-of-how-ai-learns-language/</guid><description>&lt;figure&gt;&lt;img&#10; class="my-0 rounded-md"&#10; loading="lazy"&#10; decoding="async"&#10; fetchpriority="auto"&#10; alt=""&#10; width="600"&#10; height="600"&#10; src="https://samarthya.me/posts/two-students-two-talents-the-story-of-how-ai-learns-language/auto-2.png"&#10; srcset="https://samarthya.me/posts/two-students-two-talents-the-story-of-how-ai-learns-language/auto-2.png 800w, https://samarthya.me/posts/two-students-two-talents-the-story-of-how-ai-learns-language/auto-2.png 1280w"&#10; sizes="(min-width: 768px) 50vw, 65vw"&#10; data-zoom-src="https://samarthya.me/posts/two-students-two-talents-the-story-of-how-ai-learns-language/auto-2.png"&gt;&lt;/figure&gt;&#10;&lt;p&gt;Remember how we compared a language model to an advanced autocomplete system? Well, here’s where the story gets interesting. Not all language models learn the same way. Imagine two students sitting in the same classroom, both brilliant, but each taught to master language through completely different methods. One becomes an incredible writer, the other becomes an exceptional reader. This is the tale of auto-regressive and auto-encoding models.&lt;/p&gt;</description></item></channel></rss>