Jan. 10, 2024 — There’s less than a week to reserve your spot for the ALCF‘s Intro to AI-Driven Science on Supercomputers training series. Don’t miss out on an opportunity to learn the fundamentals of using world-class supercomputers to advance the use of AI for research. The deadline to register is Monday, January 15, 2024.

Building on the ALCF’s robust training program in the areas of AI and supercomputing, ALCF is hosting a series of hands-on courses that will teach attendees to use leading-edge supercomputers to develop and apply AI solutions for the world’s most challenging problems. This year, the focus will be on understanding the fundamentals of large-language models (LLMs) and their scientific applications.

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

The series begins February 6, 2024 and runs through March 26, 2024:

• Week 1: Intro to Artificial Intelligence on Supercomputers
• Week 2: Introduction to Neural Networks
• Week 3: Advanced Topics in Neural Networks
• Week 4: Introduction to Large Language Models (LLM)
• Week 5: LLM: Embeddings and Tokenization
• Week 6: Parallel Training Methods for AI
• Week 7: AI Accelerators
• Week 8: Evaluating LLMs and Potential Pitfalls

The series is free to attend, but registration is required. Attendees will receive a link to the event once they have registered. Click here to get started.

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 3:00-4:30 p.m. CT. 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.

Further information on this training series can be found here.

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Source: ALCF