<?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>Generative-Models on knowledged.to</title><link>https://knowledged.to/tags/generative-models/</link><description>Recent content in Generative-Models on knowledged.to</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 17 Apr 2026 22:26:44 +0530</lastBuildDate><atom:link href="https://knowledged.to/tags/generative-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Diffusion Models in AI</title><link>https://knowledged.to/notes/ml/diffusion-models/</link><pubDate>Fri, 17 Apr 2026 16:56:26 +0000</pubDate><guid>https://knowledged.to/notes/ml/diffusion-models/</guid><description>Overview of diffusion models, how they reverse a gradual noising process to generate data, key variants like DDPM, DDIM, and Latent Diffusion Models, and how text-to-image conditioning works</description></item></channel></rss>