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