<?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-Source-Ai on AI Charcha</title><link>https://www.aicharcha.com/tags/open-source-ai/</link><description>Recent content in Open-Source-Ai on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 17 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/open-source-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Open Model Adoption in 2026: Why Developers Are Rethinking the AI Stack</title><link>https://www.aicharcha.com/news/open-model-adoption-keeps-growing-among-developer-teams/</link><pubDate>Tue, 16 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/news/open-model-adoption-keeps-growing-among-developer-teams/</guid><description>Open model adoption is rising as developer teams compare open-source AI models, private deployment, customization, cost control, and hybrid AI stacks.</description></item><item><title>Open Model Risk Assessment for Product Teams</title><link>https://www.aicharcha.com/research/may-25-open-model-risk-assessment/</link><pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-25-open-model-risk-assessment/</guid><description>A research note on evaluating open models for privacy, licensing, safety, quality, support, and deployment control.</description></item></channel></rss>