<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3d-Printing on Anshul Patel</title><link>http://www.anshulpatel.in/tags/3d-printing/</link><description>Recent content in 3d-Printing on Anshul Patel</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 06 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://www.anshulpatel.in/tags/3d-printing/index.xml" rel="self" type="application/rss+xml"/><item><title>From Prompts to Prints: Creating Parametric 3D Models with LLMs! 🚗✨</title><link>http://www.anshulpatel.in/posts/parametric_3d_modeling_llm/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>http://www.anshulpatel.in/posts/parametric_3d_modeling_llm/</guid><description>&lt;p&gt;I&amp;rsquo;ve been using Large Language Models (LLMs) for a while now. Whether it&amp;rsquo;s
writing complex Go services, drafting documentation, summarizing long reports,
or even designing AI agent sandboxes, LLMs have become my go-to co-pilot. But
recently, I decided to push the boundaries a bit further.&lt;/p&gt;
&lt;p&gt;What if I could use an LLM not just to write code that runs on a CPU, but to
&lt;strong&gt;generate physical objects&lt;/strong&gt;?&lt;/p&gt;
&lt;p&gt;As an automobile enthusiast and an avid collector of 1:64 scale diecast cars
(yes, my desk is covered in Hot Wheels and Tomica!), I had the perfect
challenge: designing a &lt;strong&gt;Modular Diecast Display Case&lt;/strong&gt;. And I wanted to do it
entirely through a parametric, code-first CAD approach powered by AI. 🛠️&lt;/p&gt;</description></item></channel></rss>