ICAI Deep Dive: Large Language models
ICAI Deep-Dive is a community meetup that focuses on technical questions and facilitates an in-depth discussions in a specific field of AI where multiple labs are working. Common challenges in research are shared across community members and labs. The aim is to stimulate knowledge exchange, creating new insights, and build bridges by sharing lessons learned, experiences, and having an open discussion.
These series have the aim to find solutions for the common challenges and issues in the community.
During this deep dive in the afternoon on the 29th of June, ICAI would like to discuss technical challenges in Large Language Models and see what threats and opportunities there are. How can we work together in this field and what are the steps to make? After the insights of an expert panel of researchers and company experts, we will deep-dive into small table discussions with the experts of the panel. Each panelist will lead on of the discussions.
- For participation on-site, please sign up. The walk-in time is from 14:30 on.
For participation online, please sign up here.
- More info click here.
Part one: Challenges, Opportunities and background (14:30 Walk-in and networking, 15:00 Opening presentation)
Part two: Panel Discussion
Panellists: Cees Snoek (prof. AI and Computer Vision University of Amsterdam) and Hans Onvlee (Senior Research Manager ASML
15:20 Presentation from each panelist
15:40 Panel discussion (20 mins)
Part three: In depth Table discussions (on-site only)
16:20 Interactive sessions/breakout sessions with panelists
Each lab will have a table with a topic set by themselves for an in-depth conversation.
Part Four: Networking and drinks (on-site only)
Startup Village,Science Park 608, 1098 XH Amsterdam
Bus stop: “Science Park Terra” | every 15 minutes | 1 min walk
Train station: “Amsterdam Science Park” | 10 min walk
This is a HYBRID event.
*For participation on-site, please sign up. The walk-in time is from 14:30 hrs on.
*For participation online, please sign up here.