<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MLC LLM on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/mlc-llm/</link><description>Recent content in MLC LLM on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 06 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/mlc-llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Introduction to Edge AI Agents and Environment Setup</title><link>https://ai-blog.noorshomelab.dev/on-device-ai-agents-tiny-llms-guide-2026/intro-edge-ai-setup/</link><pubDate>Wed, 06 May 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/on-device-ai-agents-tiny-llms-guide-2026/intro-edge-ai-setup/</guid><description>&lt;p&gt;This guide kicks off our journey into building real-world AI agent systems that run directly on edge devices. We&amp;rsquo;re not just exploring concepts; we&amp;rsquo;re setting the foundation for practical, production-minded applications that leverage the power of tiny Large Language Models (LLMs) and specialized AI inference at the device level. By the end of this chapter, you&amp;rsquo;ll have a solid understanding of the &amp;ldquo;why&amp;rdquo; behind edge AI and a fully configured development environment ready for hands-on project work.&lt;/p&gt;</description></item></channel></rss>