CAIRE Seminar - ChatGPT: What It Can and Cannot Do?

10:30am - 12:00pm
Lecture Theatre C, Academic Building

Is ChatGPT the latest revolution in AI? Or is it part of an evolution? Is it close to AGI? Or just a more sophisticated chatbot? What can it do and cannot do? What jobs will it replace? How should you use it? 

In this talk, I will present a brief overview of neural conversational systems and large language models (LLMs), and how ChatGPT came about. I will also present the result of a first extensive technical evaluation of ChatGPT using 23 data sets covering 8 different common NLP application tasks. I will discuss ChatGPT in terms of its ability to multitask, to reason, to interact, and how it hallucinates.  I will outline potential general improvements we need to make to make LLM-based NLP systems more reliable and trustworthy.

Event Format
Speakers / Performers:
Prof. Pascale Fung
Director of the Center for Artificial Intelligence Research, Chair Professor of ECE Department of HKUST

Prof. Pascale Fung has been a researcher in the field of natural language processing and conversational AI since 1988. She is a Chair Professor at the Department of ECE, and the Director of HKUST Centre for AI Research (CAiRE) at HKUST.  She was a Distinguished Consultant for Responsible AI at Facebook/Meta last year. She is a Fellow of the AAAI for her "significant contributions to the field of conversational AI and to the development of ethical AI principles and algorithms", a  Fellow of the ACL for her “significant contributions towards statistical NLP, comparable corpora, and building intelligent systems that can understand and empathize with humans”.  She is also a Fellow of the IEEE and of the ISCA. She is an AI expert for the World Economic Forum. She represents HKUST on Partnership on AI. She is a member of the IEEE Working Group to develop an IEEE standard - Recommended Practice for Organizational Governance of Artificial Intelligence. Her research team has won several best and outstanding paper awards at ACL, ACL and NeurIPS workshops.

Recommended For
Faculty and staff
PG students
UG students
Department of Electronic & Computer Engineering
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