<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Raspberry Pi on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/raspberry-pi/</link><description>Recent content in Raspberry Pi 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/raspberry-pi/index.xml" rel="self" type="application/rss+xml"/><item><title>Building On-Device AI Agents with Tiny LLMs: Three Practical Projects</title><link>https://ai-blog.noorshomelab.dev/projects-v2/on-device-ai-agents-tiny-llms-guide-2026/</link><pubDate>Wed, 06 May 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/projects-v2/on-device-ai-agents-tiny-llms-guide-2026/</guid><description>&lt;p&gt;The landscape of AI is rapidly expanding beyond the cloud, moving intelligence directly to the device. This shift enables powerful applications with enhanced privacy, minimal latency, and robust offline capabilities. This guide will take you through the practical journey of building &lt;em&gt;three distinct, production-style on-device AI agents&lt;/em&gt; using tiny Large Language Models (LLMs) and specialized edge AI tooling. We&amp;rsquo;ll leverage a common hardware platform and software stack to demonstrate how these principles apply across diverse real-world scenarios.&lt;/p&gt;</description></item></channel></rss>