<?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/9b9b6964cbd6471c8f31616e4f939a6c&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/9b9b6964cbd6471c8f31616e4f939a6c-520fc364c8d9cf98.gif</thumbnail_url><duration>545.4072</duration><title>Introduction to DSLModel Framework</title><description>https://github.com/seanchatmangpt/dslmodel

Hi everybody, Sean Chatman here, introducing the DSL Model Framework, a powerful tool for modeling data using DSPy and Jinja. In this video, I explain how to install and use the framework, highlighting its features like declarative model creation, mock data generation with Faker, and Jinja extensions for data manipulation. I showcase the framework&apos;s capabilities in handling personally identifiable information, creating advanced data structures, and integrating with DSPy for typed instances. My goal is to revolutionize data work with this framework, offering a seamless workflow solution without external dependencies.</description></oembed>