<?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/058382f01c5d4e9b91cce5091871a8e3&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/058382f01c5d4e9b91cce5091871a8e3-f9627a349451f2f8.gif</thumbnail_url><duration>35.018</duration><title>Introduction to T-Worlds Game and LLM Agents</title><description>In this video, I introduce T-Unit, our environment for playing the T-Worlds game, which features four LLM agents trained for real-time gameplay. These agents are currently running in Owama, but they can also be accessed via Hugging Face. I&apos;ve deployed the environment and the model, and I encourage you to explore these capabilities. Please let me know if you have any questions or need further assistance with the setup.</description></oembed>