Discover a streamlined method for training smaller, task-specific models without new data in this 55-minute PyCon US conference talk. Learn how to leverage existing open-source foundational large models to impart knowledge to more compact models tailored for specific tasks. Explore the process of utilizing foundational models for zero-data model training, with a focus on practical applications using open-source tools. Presented by Santosh Kumar Radha and Ara Ghukasyan, this talk offers valuable insights for developers looking to enhance their projects with advanced machine learning techniques.