<?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/30d3b2e054f142fda5d905f95fedc29f&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/30d3b2e054f142fda5d905f95fedc29f-00001.gif</thumbnail_url><duration>916.667</duration><title>Exploring Fine-tuning with Honeycomb Example</title><description>In this video, I walk you through the process of fine-tuning a model using the honeycomb example. I provide step-by-step instructions on cloning the repository, installing dependencies, and running the code. I also explain the importance of understanding the motivation behind fine-tuning and how to verify the results. No specific action is requested from viewers, but this video serves as a helpful guide for anyone interested in running a dataset out of the box.</description></oembed>