🎙️ Talks

Sam Foreman

🎙️ Talks

A collection of my recent talks, including slides and videos.

Author

Affiliation

Sam Foreman

ALCF

Modified

May 22, 2025

[HTML ⇆ Reveal.js]

Convert from HTML to slideshow version of a page by appending /slides to the end of its URL, e.g.

LLMs on Aurora: Overview

🌌 AuroraGPT

2025-05-21

@	2025 ALCF INCITE GPU Hackathon

LLMs on Aurora: Hands-On

🍋 ezpz

2025-05-07

@	2025 ALCF INCITE GPU Hackathon

AuroraGPT: Foundation Models for Science

2025-02-12

@	Foundation Models for the Electric Grid

Parallel Training Methods

2024-11-05

@	Intro to AI-driven Science on Supercomputers

AuroraGPT: ANL’s General Purpose Scientific LLM

2024-10-30

@	ALCF Hands-on HPC Workshop

Deep Learning and Foundation Models at Scale

2024-10-29

@	ALCF Hands-on HPC Workshop

AuroraGPT

2024-09-04

@	HPC User Forum Fall ’24

Training LLMs at Scale

2024-08-09

@	ATPESC 2024

LLMs on Polaris

2024-07-17

@	SciFM Summer School ’24

MLMC: Machine Learning Monte Carlo

2023-07-31

@	Lattice 2023 (Fermilab)

📆 2025

LLMs on Aurora: 🌌 AuroraGPT @ 2025 ALCF INCITE GPU Hackathon [05/2025]

LLMs on Aurora: 🍋 ezpz @ 2025 ALCF INCITE GPU Hackathon [05/2025]

AuroraGPT: Foundation Models for Science @ Foundation Models for the Electric Grid [02/2025]

📆 2024

Parallel Training Methods @ AI-for-Science on Supercomputers [11/2024]

AuroraGPT @ 2024 ALCF Hands-On HPC Workshop [10/2024]

Machine Learning and Foundation Models at Scale @ 2024 ALCF Hands-On HPC Workshop [10/2024]

AuroraGPT @ HPC User Forum, 2024 [09/2024]

Training LLMs at Scale @ ATPESC, 2024 [08/2024]

LLMs on Polaris @ Center for Scientific Foundation Models, Summer School 24’ [07/2024]

Parallel Training Techniques @ AI-4-Science Training Series [03/2024]

LLMs from Scratch @ LLM Tutorial Workshop [02/2024]

📆 2023

Creating Small(-ish) LLMs @ LLM Tutorial Workshop (1) [11/2023]

Exascale Science on Aurora @ Intel oneAPI Workshop @ UIC [10/2023]

LLM Lunch Talk @ ALCF Hands On HPC Workshop [10/2023]

Scaling LLMs for Science @ Data-Intensive Computing + AI/ML at Scale [08/2023]

MLMC: Machine Learning Monte Carlo @ Lattice 2023 [07/2023]

Generative Modeling and Efficient Sampling @ PASC23 [07/2023]

Efficient Sampling for LGT @ Deep Fridays @ U. Bologna [04/2023]

📆 2022

Large Scale Training @ AI4Science on Supercomputers (ALCF) [11/2022]

Hyperparameter Management @ ALCF SDL Workshop [10/2022]

Statistical Learning @ ATPESC 2022 [08/2022]

📕 accompanying notebook

Scientific Data Science: An Emerging Symbiosis @ ANL (05/2022)

Machine Learning in HEP @ UNC Greensboro [03/2022]

Machine Learning in HEP, at UNC Greensboro, March 2022

📆 2021

Accelerated Sampling Methods for LGT, @ DWQ @ 25 [BNL] [12/2021]

Training Topological Samplers for LGT @ ML4HEP, ECT* Trento [09/2021]

l2hmc-qcd @ MIT Lattice Group Seminar [2021]

l2hmc-qcd at the MIT Lattice Group Seminar, 2021

Deep Learning HMC for Improved Gauge Generation @ ML in LQCD Workshop [2021]

📆 2020

Machine Learning for Lattice QCD @ U. Iowa [2020]

Citation

BibTeX citation:

@online{foreman,
  author = {Foreman, Sam},
  title = {🎙️ {Talks}},
  url = {https://samforeman.me/talks/},
  langid = {en}
}

For attribution, please cite this work as:

Foreman, Sam. n.d. “🎙️ Talks.” https://samforeman.me/talks/.