{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/30d3b2e054f142fda5d905f95fedc29f\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/30d3b2e054f142fda5d905f95fedc29f-00001.gif","duration":916.667,"title":"Exploring Fine-tuning with Honeycomb Example","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."}