CuttingEdgeAI: Large Language Models (21 February 2023)

On the 21st of February, NORA hosted the first CuttingEdgeAI-seminar, which marked the launch of a new series of events for NORA.ai. The goal of the Cutting Edge AI seminar series is to democratize AI by providing an accessible platform for researchers, students, practitioners and the general public alike, to gain knowledge, exchange ideas and collaborate on AI-related projects. At this inaugural Cutting Edge AI Seminar, which focused on Large Language Models, the Norwegian AI Community managed to move one step closer to that goal, with over 300 participants following the seminar online and over 100 physical attendees in Domus Bibliotheca.


Program:

Introduction to the seminar series, CuttingEdgeAI - Klas Pettersen, CEO, NORA.ai


ChatGPT and Large Language Models - Lilja Øvrelid, Professor of Language Technology, UiO


The Potential Benefits of Large Language Models - Pierre Lison, Senior Researcher at The Norwegian Computing Center

 

 


Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars - Michael Riegler, Chief Research Scientist at Simula/Research Professor

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The Societal and Ethical Implications of Language Models - Samia Touileb, Researcher, MediaFutures, UiB

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When factuality matters. Starting from the opposite point of the LLMs - building computationally efficient AI that gets the facts right - Anita Schjøll Abildgaard, CEO of Iris.ai

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Panel discussion: The Ethics of Large Language Models

Moderator: Klas Pettersen, CEO of NORA.ai

Panellists:

  • Samia Touileb, Researcher, MediaFutures, UiB
  • Anita Schjøll Abildgaard, CEO of Iris.ai
  • Eivind Throndsen, Academic Liaison / Product Manager, Schibsted
  • Per Erik Solberg, NLP Linguist, Språkbanken v/Nasjonalbiblioteket
  • Sten Ludvigsen, Professor in learning and digitalization, UiO

Language Models Demystified - Andrey Kutuzov, Associate Professor, Research Group for Language Technology, UiO

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When factuality matters - the technical perspective. How Iris.ai tackles the problems of lack of data for fine-tuning, and injection of knowledge, for applications where adherence to facts matter - Victor Botev, CTO of Iris.ai

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Fine-tuning Language Models with Norwegian Open Data - Per Egil Kummervold, Senior Researcher at the National Library of Norway

Presentation | Jupyter Notebook


Training and deploying LLMs reliably - Arjun Chandra, Independent AI researcher, engineer, and founder of brua.io

Presentation | Jupyter Notebook: LLM fine-tunning & LLM hallucinations in action


This event is partly funded by the European Union's DIGITAL EUROPE Programme, under Grant Agreement No. 101083966, and the Norwegian AI Cloud project, funded by Forskningsrådet with Grant Agreement No. 322336.

Bildet kan inneholde: font, elektrisk blå, sirkel, himmel, begivenhet.Bildet kan inneholde: font, merke.

 

Published Jan. 19, 2024 11:12 AM - Last modified Oct. 9, 2025 12:56 PM