<?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/cc6ebd6eeee74a1b82a05790e3dd6e36&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/cc6ebd6eeee74a1b82a05790e3dd6e36-1689772433697.gif</thumbnail_url><duration>387.9333333333341</duration><title>Annotate: Democratizing Data Annotation for ML and AI Models</title><description>Hi guys, in this quick video demonstration, I will introduce you to Annotate, a platform that aims to democratize data annotation for fine-tuning machine learning or AI models. The goal of Annotate is to improve transparency in training data and reduce the high costs associated with training models. I will walk you through the workflow of Annotate, including how users can connect via the Ceramic Authentication Flow and access the platform. I will also explain how data tokens from Ocean Protocol are used to purchase access to annotated datasets stored in ComposeDB. Additionally, I will discuss how users can gain reputation and receive rewards based on their annotations.</description></oembed>