<?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/c6ed484899324de991ef7147fd73785d&quot; frameborder=&quot;0&quot; width=&quot;3840&quot; height=&quot;2880&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2880</height><width>3840</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2880</thumbnail_height><thumbnail_width>3840</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c6ed484899324de991ef7147fd73785d-acc3637c2b1bda31.gif</thumbnail_url><duration>96.905</duration><title>Intro to Metric-Based Semantic Coloring</title><description>In this video, I’m excited to introduce a new capability in our workspaces that allows you to color runs based on specific metrics. This feature will help us visualize patterns more effectively by assigning meaningful colors instead of using the default palette. I demonstrate how to apply this to metrics like eval-accuracy and how to customize the display. Please take a moment to explore this new feature and see how it can enhance your data visualization.†m</description></oembed>