LLMs on Polaris - Tutorial 5
Offered By: MICDE University of Michigan via YouTube
Course Description
Overview
Explore the implementation of Large Language Models (LLMs) on the Polaris supercomputer in this informative tutorial presented by Sam Foreman. Gain insights into the challenges and opportunities of running advanced AI models on high-performance computing systems. Learn about the specific considerations for deploying LLMs on Polaris, including optimization techniques, resource allocation, and scaling strategies. Discover how researchers and data scientists can leverage supercomputing capabilities to enhance the performance and capabilities of language models. Delve into practical examples and best practices for maximizing the potential of LLMs in a supercomputing environment.
Syllabus
Sam Foreman: LLMs on Polaris (Tutorial 5)
Taught by
MICDE University of Michigan
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