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LLMs on Polaris - Tutorial 5

Offered By: MICDE University of Michigan via YouTube

Tags

High Performance Computing Courses Machine Learning Courses Distributed Systems Courses Parallel Computing Courses GPU Acceleration Courses Model Training Courses

Course Description

Overview

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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

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