<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ENSC413 on Muk's Blog</title><link>https://jcmk77.github.io/tags/ensc413/</link><description>Recent content in ENSC413 on Muk's Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><managingEditor>mca307@sfu.ca (Mukun)</managingEditor><webMaster>mca307@sfu.ca (Mukun)</webMaster><lastBuildDate>Fri, 01 May 2026 20:05:00 -0600</lastBuildDate><atom:link href="https://jcmk77.github.io/tags/ensc413/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Language Model from Scratch</title><link>https://jcmk77.github.io/post/ensc413edgellm/</link><pubDate>Fri, 01 May 2026 20:05:00 -0600</pubDate><author>mca307@sfu.ca (Mukun)</author><guid>https://jcmk77.github.io/post/ensc413edgellm/</guid><description>A retrospective on an ENSC 413 edge-LLM project that trained a compact model from scratch, fine-tuned Gemma and Qwen with LoRA, and benchmarked everything on a Raspberry Pi 5.</description></item></channel></rss>