<?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/7c2b96c2b5c144e1bdd8a722a25f9548&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7c2b96c2b5c144e1bdd8a722a25f9548-50a92e8fb9983da5-full.jpg</thumbnail_url><duration>474.346</duration><title>Instant Feedback - Technical Walkthrough</title><description>In this video, I provide a quick overview of our instant feedback feature and how it leverages LLMs to enhance student learning. I demonstrate how the system evaluates code submissions and offers hints for corrections. It&apos;s crucial for us to refine our challenge descriptions to ensure clarity for the LLM. I encourage you to explore the testing process and share your thoughts on the models we’re using. Your feedback is invaluable as we prepare for a wider rollout!</description></oembed>