<?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/e64a73080d584da09f8766a6916bad72&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/e64a73080d584da09f8766a6916bad72-153c253f64be4c64.gif</thumbnail_url><duration>272.973</duration><title>Fine-Tuning Models Guide 📊</title><description>Hey Jesse, in this video, I’m sharing a quick guide on creating and using fine-tune models. I explain why fine-tuning is essential for specific tasks and walk you through the process, including the importance of the system prompt and the output data set. I also demonstrate how to convert this information into a JSON file and upload it to the platform. Please take a look and let me know if you have any questions or need further clarification!</description></oembed>