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Irina Rish explores the emergent behaviors and scaling laws governing foundation models, offering insights into predicting AI capabilities and future advancements.
Professor
Irina Rish is a Professor at Université de Montréal and MILA, focusing on machine learning, neural networks, and the emergent behaviors of foundational models.
Visiting lecturer and colloquium speaker at ISC Summer School (Université de Montréal, MILA faculty).