Fast and Scalable Model Training with PyTorch and Ray
Offered By: Anyscale via YouTube
Course Description
Overview
Explore distributed model training techniques using PyTorch and Ray in this 58-minute webinar from Anyscale's Virtual AI Tutorial Series. Learn how to migrate code from pure PyTorch to Ray Train and Ray Data for scalable and efficient AI workflows. Discover reference implementations for common PyTorch+Ray scenarios and gain insights into performance and cost efficiency optimizations for distributed model training on Anyscale. Understand core concepts of modern AI applications, with a focus on large-scale computing and cost-effectiveness in the context of GenAI and LLMs.
Syllabus
Fast and Scalable Model Training with PyTorch and Ray
Taught by
Anyscale
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent