{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9b9b6964cbd6471c8f31616e4f939a6c\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9b9b6964cbd6471c8f31616e4f939a6c-520fc364c8d9cf98.gif","duration":545.4072,"title":"Introduction to DSLModel Framework","description":"https://github.com/seanchatmangpt/dslmodel\n\nHi 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'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."}