<?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/e64d96331bc4443eaa9b599d1ee93c1b&quot; frameborder=&quot;0&quot; width=&quot;1374&quot; height=&quot;1030&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1030</height><width>1374</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1030</thumbnail_height><thumbnail_width>1374</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e64d96331bc4443eaa9b599d1ee93c1b-1af312f44d7367b2.gif</thumbnail_url><duration>144.632</duration><title>Hackathon results: Docsite Explainer 🤖</title><description>Hey everyone! In this video, I showcase the LLM-based tool we built during our hackathon to enhance the user experience of reading OpenFN documentation. The tool generates explanations for paragraphs, providing extra context for better understanding. I demonstrate how it works and explain the process behind it. Your feedback on future enhancements is welcome!</description></oembed>