Making Sense of ChatGPT


Understanding the technology, its limitations and opportunities

  

  

  

Program

09:00 - 09:30
Coffee & Registration
09:30 - 09:40
Welcome & Introduction
09:40 - 10:50
The Evolution of Large Language Models that led to ChatGPT (Andre Freitas, Idiap)

09:40 - 10:20  Understanding Transformers (James Henderson, Idiap)

10:20 - 10:40  Inference using Large Language Models (Andre Freitas, Idiap)

10:40 - 10:50  Q&A

10:50 - 12:10
What ChatGPT can and cannot do: Emerging Applications

10:50 - 11:10  ChatGPT for Digital Marketing (Floris Keijser, N98 Digital Marketing)

11:10 - 11:30  Biomedical Inference & Large Language Models (Oskar Wysocki, University of Manchester)

11:30 - 11:50  Abstract Reasoning (Marco Valentino, Idiap)

11:50 - 12:10  Q&A

12:10 - 12:30
Coffee Break & Networking
12:30 - 13:30
Panel: Applications & Business Opportunities

(Chair: Andre Freitas, Idiap)

Panel:

* Daniel Dobos, Swisscom

* Deborah Ferreira, Mathworks

* Jacopo Chevallard, Bloom

* Joel Rossier, The Ark Foundation

* Vinay Pondenkandath, Cerebras

13:30 - 14:40
Light Lunch & Posters
14:40 - 15:00
The Risks Behind Large Language Models (Al Brown, Fujitsu)
15:00 - 16:00
Panel: Risks & Broader Societal Impact (Legal, Educational and Labor)

(Chair: Lonneke van der Plas, Idiap)

Panel:

Al Brown, Fujitsu’s Centre for Cognitive and Advanced Technologies

Ana Andrijevic, Centre for Law, Technology and Society

Biljana Petreska von Ritter-Zahony, University of Education Vaud

Bertrand Audrin, EHL Hospitality Business School

 

16:00 - 16:25

The Infrastructure to build Large Language Models (Vinay Pondenkandath, Cerebras Systems)

16:25 - 16:30

Closing Remarks