Skip to content

fbhuiyan2/ai-science-training-series

 
 

Repository files navigation

Introduction to AI-driven Science on Supercomputers: A Student Training Series

2024 Spring Series

Public Page for Series Schedule

ALCF YouTube with recordings of sessions

Indico registration page (CLOSED)

This repository is organized into one subdirectory per topic. All content is prefixed by a two-digit index in the order of presentation in the tutorials.

Table of Contents
  1. Introduction to ALCF Systems
    1. ALCF Compute Systems Overview
    2. Shared Resources
    3. Introduction to Jupyter Notebooks
    4. How to Submit the Homeworks
    5. How to Login on the Command Line
    6. How to Setup a Shell Enviroment
    7. Submitting Jobs to a Queue
  2. Introduction to AI on Supercomputer
    1. History of computing
    2. Parallel Computing
    3. Artificial Intelligence in a nutshell
  3. Introduction to Neural Networks
  4. Advanced Topics in Neural Networks
  5. Introduction to LLMs
  6. LLMs -- Part II
  7. Parallel Training Techniques
    1. 📊 Slides
  8. AI Testbeds

Note for contributors: please run git config --local include.path ../.gitconfig once upon cloning the repository (from anywhere in the repo) to add the gitattribute filter defintions to your local git configuration options.1 Be sure that the jupyter command is in your $PATH, otherwise the filter and git staging will fail.23

Footnotes

  1. https://zhauniarovich.com/post/2020/2020-10-clearing-jupyter-output-p3/

  2. https://stackoverflow.com/questions/28908319/how-to-clear-jupyter-notebooks-output-in-all-cells-from-the-linux-terminal

  3. https://bignerdranch.com/blog/git-smudge-and-clean-filters-making-changes-so-you-dont-have-to/

About

AI Crash course from ALCF

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.1%
  • Other 0.9%