🦜 Recent Talks

Sam Foreman

🦜 Recent Talks

Author

Affiliation

Sam Foreman

ALCF

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Parallel Training Methods

2024-11-05

@	Intro to AI-driven Science on Supercomputers

AuroraGPT

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

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 = {🦜 {Recent} {Talks}},
  url = {https://samforeman.me/talks/},
  langid = {en}
}

For attribution, please cite this work as:

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

Parallel Training Methods

AuroraGPT

Deep Learning and Foundation Models at Scale

AuroraGPT

Training LLMs at Scale

LLMs on Polaris

MLMC: Machine Learning Monte Carlo

📆 2024

📆 2023

📆 2022

📆 2021

📆 2020

Citation