<?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>Open-Weights on Onur Baydaş</title><link>https://onurbaydas.com/en/tags/open-weights/</link><description>Recent content in Open-Weights on Onur Baydaş</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 22 Oct 2026 10:32:06 +0300</lastBuildDate><atom:link href="https://onurbaydas.com/en/tags/open-weights/index.xml" rel="self" type="application/rss+xml"/><item><title>Nvidia Tries to Win Over Europeans with Open Weights Models</title><link>https://onurbaydas.com/en/news/2026-10-22-nvidia-open-weights-rag-models/</link><pubDate>Thu, 22 Oct 2026 10:32:06 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-22-nvidia-open-weights-rag-models/</guid><description>New embedding, parsing, and reranking models promise smarter agentic RAG (Retrieval Augmented Generation) workflows. Nvidia aims to address concerns in the European market with these open weights models.</description></item></channel></rss>