24.05.2023

Teaser image to White Paper: Große Sprachmodelle – Grundlagen, Potenziale und Herausforderungen für die Forschung

White Paper: Große Sprachmodelle – Grundlagen, Potenziale Und Herausforderungen Für Die Forschung

Check Out the New White Paper of PLS on Which Our PI Volker Tresp Was One of the Authors

Experts from Platform Lernende Systeme (PLS) believe that research in Germany is in a good starting position to tackle the technical challenges of AI technology, develop it in line with European values and thus exploit its potential for Germany and Europe.

The prerequisite: a European ecosystem for the development of large language models as well as application-oriented research that facilitates the transfer into industrial practice. The current white paper from the platform identifies the most urgent research needs and options for action.

«If we want to use language models for applications in and from Europe, we need European language models that master the local languages, take into account the needs of our companies and the ethical requirements of our society.»
(V. Tresp)

#research #tresp
Subscribe to RSS News feed

Related

Link to Rethinking AI in Public Institutions - Balancing Prediction and Capacity

09.10.2025

Rethinking AI in Public Institutions - Balancing Prediction and Capacity

Unai Fischer Abaigar explores how AI can make public decisions fairer, smarter, and more effective.

Link to MCML-LAMARR Workshop at University of Bonn

08.10.2025

MCML-LAMARR Workshop at University of Bonn

MCML and Lamarr researchers met in Bonn to exchange ideas on NLP, LLM finetuning, and AI ethics.

Link to Three MCML Members Win Best Paper Award at AutoML 2025

08.10.2025

Three MCML Members Win Best Paper Award at AutoML 2025

MCML PI Matthias Feurer and Director Bernd Bischl’s paper on overtuning won Best Paper at AutoML 2025, offering insights for robust HPO.

Link to Machine Learning for Climate Action - with researcher Kerstin Forster

29.09.2025

Machine Learning for Climate Action - With Researcher Kerstin Forster

Kerstin Forster researches how AI can cut emissions, boost renewable energy, and drive corporate sustainability.

Link to Making Machine Learning More Accessible with AutoML

26.09.2025

Making Machine Learning More Accessible With AutoML

Matthias Feurer discusses AutoML, hyperparameter optimization, OpenML, and making machine learning more accessible and efficient for researchers.

Back to Top