07.12.2023

Teaser image to White Paper: Große Sprachmodelle entwickeln und anwenden

White Paper: Große Sprachmodelle Entwickeln Und Anwenden

Check Out the New White Paper of the PLS Working Group Led by Our PI Volker Tresp

The current white paper from the Plattform Lernende Systeme (PLS) uses practical examples to illustrate the opportunities and challenges of language models and analyzes the conditions under which companies can leverage the potential of the technology with confidence and legal certainty.

The experts recommend the creation of an open, commercially usable data set in German that complies with European values and rules and supports the development of language models in Germany.

«From the perspective of AI research, LLMs represent a significant technological breakthrough. They unlock the intelligence of language. They enable solutions that were previously beyond the realm of technological possibilities, but now seem to be taken for granted.»
(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