ChatGPT and Large Language Models: Computational Linguistics Perspective

This is a joint event by the Statistical Society of Australia (SSA) Canberra Branch, the IEEE ACT Section and the Canberra Data Scientists Meetup group. After the talk there will be free pizzas and drinks provided to encourage people to stay after the presentation and socialise with others. Please following instructions at end of this message for catering registration.
Event Sponsor: SHURA

Title: ChatGPT and Large Language Models: Computational Linguistics Perspective
Speaker: Dr. Stephen Wan, Data61, CSIRO
Date: Wednesday 26 July AEDT
Times:
5:00-5:45pm Presentation
5:45-6:00pm Q&A
6:00-7:00pm Food, drinks and networking
Venue: The Gallery, Level 2, Cultural Centre, University Ave, Kambri ANU (The Gallery - Kambri). There is a single level, underground car park at Kambri, with elevator access directly into The Gallery, and two pedestrian access points (Car Parking Kambri | Australian National University | Care Park).
Online Attendance:
For people who are unable to attend in person, below is a ZOOM link for the seminar.
https://anu.zoom.us/j/81173281280?pwd=dkk1T3ROdmRSSm40V3VmWGk3YjRTdz09
Meeting ID: 811 7328 1280
Password: 005573
RSVP: https://www.meetup.com/CanberraDataSci/events/294634282/
Abstract: Generative AI is a disruptive technology, presenting us with new opportunities. Tools like Large Language Models (LLMs) and the chatGPT application are taking the world by storm. In this talk, I will present a computational linguistics perspective on the recent research and engineering developments in this field. I argue that understanding the linkages to historical developments in language modelling and adopting a multi-disciplinary approach to research in this area are important in developing methods to overcome some of the limitations of these new technologies. Beginning with an overview of the neural network technology underpinning LLMs, I will note the relationship of LLM advances to other work in natural language processing. I will then introduce the importance of a broader multi-disciplinary approach, involving fields such as linguistics, computational linguistics, social sciences, and human factors, to name but a few. Methods and knowledge from these other disciplines methods will be useful in advancing research and applications in this area. Finally, I will conclude by presenting some research directions that we are exploring at CSIRO Data61.

Bio: Stephen Wan is a Principal Research Scientist at CSIRO Data61. His research in computational linguistics employs methods from fields such as natural language processing, machine learning, information retrieval and human-computer interaction. With over 20 years of research experience in the field, Stephen has led projects resulting in the deployment of NLP systems in industry and government. Currently, he leads the Language Technology team and is interested in areas such as AI for Science, computational social science, and text-driven business analytics.

Catering: To assist in catering, please let us know if you are attending in person by 5pm Monday 24 July by entering your details at attendance sheet, or contacting Warren ([warren.muller@csiro.au](mailto:warren.muller@csiro.au); 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text Warren (0407 916 868).