Introduction to AI/ML on HPC Clusters (test only)

This seminar provides a practical introduction to applying artificial intelligence (AI) and machine learning (ML) techniques on Yale’s high-performance computing (HPC) clusters. Designed for beginners who are familiar with HPC or have taken/watched Intro-to-HPC, this session walks participants through setting up and running machine learning, neural networks, and large language models (LLMs) on the YCRC clusters.

You will learn:

• The fundamental differences between ML, neural networks, and LLMs
• Practical strategies for running AI/ML workloads on Yale’s HPC
• How to run and modify local LLMs (using Ollama and HuggingFace) without risking data exposure
• Resource usage best practices for efficient SLURM job submissions