<?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/d4702ee2a0d44ec0ab5aacfe3a139dae&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/d4702ee2a0d44ec0ab5aacfe3a139dae-1e543bfc47ceec7a.gif</thumbnail_url><duration>4351.0049</duration><title>Understanding AI Models and Guardrails 🤖</title><description>In this video, I dive into the complexities of AI models and the importance of setting guardrails for effective oversight. I discuss how to manage large outputs from models and the significance of using the right tools for specific tasks. I also touch on the latest research in vision models and their capabilities. Please take a moment to review the key points and let me know if you have any questions!</description></oembed>