<?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/866aa8e790c84e018fc9b9302c032d2e&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/866aa8e790c84e018fc9b9302c032d2e-362ad6bd14f95a82.gif</thumbnail_url><duration>300.55</duration><title>AI 110 Music Recommender Project Updates 🎵</title><description>Hi, I am Jennifer, and this is my AI 110 final project extension of my Module 3 Music Recommender AI. I added more agents, enhanced regs, and used three documents to produce richer explanations, while also adding a confidence score and tracing the reasoning steps. With default settings, target energy was 0.7 and I initially preferred no acoustic music, showing the top five recommendations. Sunshine City was the top pick, and confidence was checked against a threshold of 0.5, with no RAG showing shorter explanations. I tried a formal explanation style with RAG but it started repeating generic definitions, and I was not able to fully resolve that.</description></oembed>