video1.0<iframe src="https://www.loom.com/embed/443a398dabd44eb2a30584036340f35e" frameborder="0" width="1670" height="1252" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12521670Loomhttps://www.loom.com12521670https://cdn.loom.com/sessions/thumbnails/443a398dabd44eb2a30584036340f35e-00001.gif271.135In this video, I demonstrate the new features of Moflow and provide an end-to-end demo of using fine-tuning for name entity recognition with a llama27b model in Databricks. I showcase the new Moflow website, including the blog, release page, and updated docs. Throughout the video, I highlight the ease of use and flexibility of the UI, such as searching and grouping charts, comparing metrics, and saving checkpoints. This video aims to provide a comprehensive overview of the new features in Databricks for better deep learning workloads.