Should we use large language models, based on major languages, or should we develop our own? AI Sweden believes that developing our own models is more sustainable, and thus, they created the large-scale generative language model GPT-SW3. Trained on Swedish, Danish, Norwegian, Icelandic, and English data, the model performs well in Nordic languages.
GPT-SW3 understands Faroese Read More »
Barbara Scalvini, lecturer at the Faculty of Science and Technology, and Iben Nyholm Debess, Ph.D. researcher and coordinator at the Centre for Language Technology, attended the Learning with Small Data (LSD) conference organized by The Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg. They participated with the poster titled 'Leveraging GPT-SW3 for Faroese to English translation.'
At a Conference in Sweden Read More »
