<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on Fullstack with Santosh</title><link>https://santoshk.dev/tags/ai/</link><description>Recent content in AI on Fullstack with Santosh</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Santosh Kumar</copyright><lastBuildDate>Sun, 26 Jul 2026 23:36:54 +0530</lastBuildDate><atom:link href="https://santoshk.dev/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Understanding Your First Local AI Stack, Part 1: The Big Picture</title><link>https://santoshk.dev/posts/2026/understanding-your-first-local-ai-stack-part-1-the-big-picture/</link><pubDate>Fri, 24 Jul 2026 00:00:00 +0000</pubDate><guid>https://santoshk.dev/posts/2026/understanding-your-first-local-ai-stack-part-1-the-big-picture/</guid><description>&lt;div class="lead text-neutral-500 dark:text-neutral-400 !mb-9 text-xl"&gt;
 Most local AI tutorials hand you a &lt;code&gt;docker compose up&lt;/code&gt; and a shrug. This one starts with the architecture, because once you can name the layers, every tutorial after this becomes readable.
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&lt;h2 class="relative group"&gt;The Naming Problem
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 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#the-naming-problem" aria-label="Anchor"&gt;#&lt;/a&gt;
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&lt;p&gt;Spend twenty minutes reading about local AI and you will collect a pile of nouns:&lt;/p&gt;
&lt;p&gt;Ollama. Qwen. Llama. Gemma. GGUF. llama.cpp. Open WebUI. LM Studio. vLLM. Hugging Face.&lt;/p&gt;</description></item></channel></rss>