Title: Advancing AI with Large Generative Models: Research and Applications 

 

Recent breakthroughs in large generative models, such as ChatGPT and Midjourney, have ignited considerable enthusiasm in both commercial and research sectors. These models have demonstrated remarkable progress in natural language processing tasks, including common-sense reasoning and translation, while also offering wide-ranging applications across various fields such as mathematics, physics, computational biology, and robotics. In this talk, we will discuss the transformative impact of large language models on the foundational paradigm of artificial intelligence, transitioning from traditional supervised learning to more generalized learning approaches, including zero-shot, few-shot, and in-context learning. Furthermore, we will highlight our progress in developing efficient transformers and advancing text generation techniques. We will also briefly delve into interdisciplinary research, investigating the applications of large generative models in fields such as computational biology, AI for law, and AI for science.

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Biography

Dr Lingpeng Kong is an assistant professor in the Department of Computer Science at the University of Hong Kong (HKU) and a co-director of the HKU NLP Lab. Their work lies at the intersection of natural language processing (NLP) and machine learning (ML), with a focus on representation learning, structured prediction, and generative models. Prior to joining HKU, Dr Lingpeng Kong was a research scientist at Google DeepMind. He obtained his Ph.D. from the School of Carnegie Mellon University.