No Data? No Problem: Zero-Data Model Training with Foundational Models
Offered By: PyCon US via YouTube
Course Description
Overview
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.
Syllabus
Sponsor Presentations - No Data? No Problem: Zero-Data Model Training Foundational Models (Covalent)
Taught by
PyCon US
Related Courses
Structuring Machine Learning ProjectsDeepLearning.AI via Coursera Natural Language Processing on Google Cloud
Google Cloud via Coursera Introduction to Learning Transfer and Life Long Learning (3L)
University of California, Irvine via Coursera Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Neural Style Transfer with TensorFlow
Coursera Project Network via Coursera