ALCF AI Training Series: Intro to AI-driven Science on Supercomputers, Oct-Nov 2024

Argonne Leadership Computing Facility (ALCF) is hosting a 7-week training series in the areas of AI and supercomputing. The series includes hands-on courses that will teach attendees to use leading-edge supercomputers to develop and apply AI solutions to the world’s most challenging problems. This year, the training will focus on understanding the fundamentals of large-language models (LLMs) and their scientific applications. This training series is open to NERSC users. 

Prerequisites

This training series is aimed at undergraduate and graduate students enrolled at US universities and community colleges. Attendees are expected to have basic experience with Python. No supercomputing or AI knowledge is required.

Workshop Series Format

Each session will have both lecture and hands-on components, along with a talk from an Argonne scientist about the work they do using AI for their science. Each session occurs on Tuesdays from 1-2:30 p.m. Pacific Time. Session recordings will be made available shortly after each event. Attendees who complete all in-class and post-class exercises by the end of the series will receive a certificate of completion and a digital badge. Session materials are hosted on the ALCF AI Science Training Series GitHub.

Registration, Agenda, and Materials

The registration deadline is September 29, 2024. The series is free to attend, but registration is required.  Please register if you are able to commit to attend all 7 sessions. For those who cannot commit to all sessions, materials and session recordings will be made publicly available after each session. Registration restrictions may be enforced at our discretion.

For more information, topics, and presentations of each session, and to register please visit the ALCF event page and each individual event page below.

• • 10/01/2024: Intro to Artificial Intelligence on Supercomputers
  • 10/08/2024: Introduction to Neural Networks
  • 10/15/2024: Advanced Topics in Neural Networks
  • 10/22/2024: Introduction to Large Language Models (LLM)
  • 10/29/2024: Introduction to LLM (Part 2)
  • 11/05/2024: Parallel Training Methods for AI
  • 11/12/2024: AI Accelerators

Event materials website: https://github.com/argonne-lcf/ai-science-training-series