<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Systems on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/ai-systems/</link><description>Recent content in AI Systems on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/categories/ai-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Context Engineering for LLMs Guide</title><link>https://ai-blog.noorshomelab.dev/context-engineering-guide/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/context-engineering-guide/</guid><description>&lt;p&gt;This comprehensive guide delves into Context Engineering for AI systems, providing essential techniques to design, structure, and optimize context for Large Language Models. Explore methods like context reduction, compression, chunking, and multi-source pipelines, alongside real-world examples and trade-offs. Learn to significantly improve AI output quality and efficiency in production environments.&lt;/p&gt;</description></item></channel></rss>