Large language models are currently revolutionizing a lot of different domains, being able to tackle problems that were previously the exclusive domain of humans. The talk will explore the considerable potential of these models across several practical applications, but also consider potential challenges, such as their tendency to hallucinate and their limited availability for Slovak.
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Michal Gregor
He is a researcher at KInIT, specializing in the field of artificial intelligence and machine learning, with experience in areas such as deep learning, reinforcement learning, incorporation of prior knowledge into neural architecture design, etc. He currently coordinates the research part of KInIT’s Natural Language Processing Team, where his focus is mostly on large language models and vision-language models in their various applications and aspects. Prior to starting at KInIT, h was involved in machine learning research both nationally, as associate professor at the University of Žilina, and internationally through exchanges and secondments to institutions such as UC Berkeley, University of Strathclyde, Tongji University and others.
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