Generative models form the foundation of recent advancements in artificial intelligence (AI), powering innovations such as large language models (LLMs) and text-to-image generation systems. Yet, two significant challenges remain: how to better train generative models with limited data and how to effectively apply them to various real-world problems. This talk offers an overview of generative models before delving into strategies to address these challenges, aiming to build stronger and more reliable generative models.
Speaker: Mr Ning Miao
Date: 25 April 2024 (Thusday)
Time: 3:00pm – 4:00pm
Poster: Click here
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Biography
Mr Ning Miao is a fourth-year PhD student at the Department of Statistics, University of Oxford. His research interests are in machine learning and artificial intelligence, with a focus on improving generative models, and building reliable machine reasoning systems. Before joining Oxford, he obtained his undergraduate and master's degrees from Peking University.