<?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>Diffusion-Models on Onur Baydaş</title><link>https://onurbaydas.com/en/tags/diffusion-models/</link><description>Recent content in Diffusion-Models on Onur Baydaş</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 18 Oct 2026 14:58:27 +0300</lastBuildDate><atom:link href="https://onurbaydas.com/en/tags/diffusion-models/index.xml" rel="self" type="application/rss+xml"/><item><title>High-speed diffusion LLM performance on a single RTX 5090 with ORL</title><link>https://onurbaydas.com/en/news/2026-10-18-orl-diffusion-llm-performance/</link><pubDate>Sun, 18 Oct 2026 14:58:27 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-18-orl-diffusion-llm-performance/</guid><description>New research called ORL aims to significantly speed up diffusion language models (dLLMs) without sacrificing generation quality. This work demonstrates high performance, achieving 2,788 tokens per second on a single RTX 5090 GPU.</description></item></channel></rss>