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Irina Rish

Mila
Participates in 2 items

Irina Rish is Professor of Computer Science and Operations Research at Université de Montréal and MILA. Her research is on machine learning, neural data analysis and neuroscience-inspired AI, including scaling laws, emergent behaviors and foundation models in AI, continual learning and transfer. 
 

Talk

Emergent Behaviors in Foundational Models | June 13

Sessions in which Irina Rish participates

Thursday 13 June, 2024

Time Zone: (GMT-05:00) Eastern Time (US & Canada)
1:30 PM
1:30 PM EDT - 3:00 PM EDT | 1 hour 30 minutes
Large Language Models & Learning

The field of AI is advancing at unprecedented speed due to the rise of foundation models – large-scale, self-supervised pre-trained models whose impressive capabilities greatly increase with scaling the amount of training data, model size and computational power. Empirical neural scaling laws aim to predict scaling behaviors of foundation models, thus serving as an “investment tool” towards choosing the best-scaling methods with increased compution, likely to stand the test of time and  ...