<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/3f5a7f0deaaf438fb0cbaa28353cc0b8&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3f5a7f0deaaf438fb0cbaa28353cc0b8-554d4f1a4c7a6a0e.gif</thumbnail_url><duration>292.483</duration><title>Linux Driver Evaluation System Overview</title><description>In this video, I walk you through my Linux driver evaluation system, designed for my ML internship assignment. I set up the environment to analyze driver files based on compilation success, kernel style, and security checks. I evaluated a human-written character driver and an LMM-generated driver, scoring 75.83 and 35.83 respectively, with the latter failing to compile due to missing kernel headers. Additionally, I implemented a simulated runtime test to mimic real kernel driver behavior. I encourage you to review the results and consider how this modular system can benchmark both human-written and generated drivers effectively.</description></oembed>