<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Machine-Learning on Girish Shekhar</title><link>https://blog.girishshekhar.com/tags/machine-learning/</link><description>Recent content in Machine-Learning on Girish Shekhar</description><generator>Hugo -- 0.163.3</generator><language>en-us</language><lastBuildDate>Wed, 22 Mar 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.girishshekhar.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>How LLMs Work (Only What You Need to Know)</title><link>https://blog.girishshekhar.com/posts/llms-and-how-our-work-is-changing/2-how-llms-work/</link><pubDate>Wed, 22 Mar 2023 00:00:00 +0000</pubDate><guid>https://blog.girishshekhar.com/posts/llms-and-how-our-work-is-changing/2-how-llms-work/</guid><description>A deeper look at how Large Language Models actually work — focusing on tokens, transformers, and training stages — explained in a way that helps engineers, product managers, and technical leaders reason about behavior and tradeoffs.</description></item><item><title>Why Large Language Models Changed the Game</title><link>https://blog.girishshekhar.com/posts/llms-and-how-our-work-is-changing/1-why-llms-changed-the-game/</link><pubDate>Tue, 07 Mar 2023 00:00:00 +0000</pubDate><guid>https://blog.girishshekhar.com/posts/llms-and-how-our-work-is-changing/1-why-llms-changed-the-game/</guid><description>Large Language Models feel different from earlier machine learning systems. This post explains why — focusing on tokens, training data, self-supervision, and the architectural patterns that changed how we build software.</description></item></channel></rss>