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Session

Event TypeWorkshop
TimeFriday, 22 November 20248:30am - 12pm EST
LocationB206
Tags
Artificial Intelligence/Machine Learning
Registration Categories
W
Presentations
8:30am - 8:45am ESTWorkshop Introduction: The Trillion Parameter Consortium
8:45am - 8:55am ESTSkills, Safety, and Trust Evaluation of Large Language Models for Science
Artificial Intelligence/Machine Learning
8:55am - 9:00am ESTComprehensive Multi-Stage Evaluation of Language Models for Scientific Skill and Safety Red-Teaming
9:00am - 9:15am ESTCheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
Author/Presenter
Artificial Intelligence/Machine Learning
9:15am - 9:30am ESTEnabling cross-Facility LLM pre-Training
Artificial Intelligence/Machine Learning
9:30am - 9:45am ESTPreparing Data at Scale: The Data Pipeline for AuroraGPT
Artificial Intelligence/Machine Learning
9:45am - 10:00am ESTllm-recipes: A Framework for Seamless Integration and Efficient Continual Pre-Training of Large Language Models
Artificial Intelligence/Machine Learning
10:00am - 10:30am ESTTPC — Morning Break
10:30am - 10:36am ESTScientific Applications Session Introduction
10:36am - 10:48am ESTTraining Large-Scale Vision Transformer Foundation Models for Science and Engineering Applications
Artificial Intelligence/Machine Learning
10:48am - 11:00am ESTAttribution in Large Language Models
Artificial Intelligence/Machine Learning
11:00am - 11:12am ESTDistributed document deduplication over slurm-based HPC environments.
Author/Presenter
Artificial Intelligence/Machine Learning
11:12am - 11:24am ESTAgents for Climate Change Mitigation and Adaptation in Cities
Author/Presenters
Artificial Intelligence/Machine Learning
11:24am - 11:36am ESTG-LED: Generative AI for Learning the Effective Dynamics of High-dimensional, Complex Systems
Artificial Intelligence/Machine Learning
11:36am - 11:48am ESTDriving Autonomous Experiments and Molecular Explorations aided by Virtual Foundation Model OS
Artificial Intelligence/Machine Learning
11:48am - 12:00pm ESTAdvancing Foundation Models in Earthquake Nowcasting
Artificial Intelligence/Machine Learning