ΑΙhub.org
 

All questions answered: ChatGPT and large language models

by
10 March 2023



share this:
a pile of question marks

On 8 March, the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) All Questions Answered (AQuA) series continued, with a one hour session focussing on ChatGPT and large language models. The session was conducted in conjunction with ICT-48 Networks of Excellence TAILOR, AI4Media and ICT-48 Coordination and Support Action VISION.

The panel first gave an overview of large language models (LLMs) and how they work. They then went on to consider topics including: regulation, safeguards, whether European companies are investing enough in large language models, the limitations of LLMs, and how concerned we should be about the misinformation they generate.

The session was recorded and you can watch in full below:

The panel for this event:

  • Morten Irgens (CLAIRE, ADRA, Kristiania)
  • Fredrik Heintz (TAILOR, Linköping University)
  • Tomas Mikolov (RICAIP, CIIRC CTU)
  • Ioannis Pitas (AI4Media, AIDA)
  • Ariel Ekgren (AI Sweden)

About the CLAIRE AQuA sessions:

CLAIRE All Questions Answered Events (AQuAs) are relaxed, one hour, online events that bring together a small group of panellists to discuss current hot topics in AI and beyond and answer questions from the community. These events are usually held via Zoom Webinar for CLAIRE members and members of co-hosting organisations, and live streamed to the CLAIRE YouTube channel, allowing the community at large to get involved and be a part of the discussion.



tags: ,


Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by

DataLike: Interview with Tẹjúmádé Àfọ̀njá

"I place an emphasis on wellness and meticulously plan my schedule to ensure I can make meaningful contributions to what's important to me."

Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing

Off-road motorcycle racing poses unique challenges that push the boundaries of what existing computer vision systems can handle
17 April 2024, by

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.
16 April 2024, by

2024 AI Index report published

Read the latest edition of the AI Index Report which tracks and visualises data related to AI.
15 April 2024, by

#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
12 April 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association