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Motivated by the needs of the Horizon Europe project LUMINOUS, the team proposes a novel way to develop Multimodal LLMs for low-resource languages (LRL), adapting a strong and open English-centric MLLM.
This project intends to train a multimodal transformer based model incorporating text, audio, and image modalities for the scandinavian languages (Swedish, Danish, Norwegian, and Icelandic) and English.
This project aims to train and release a state-of-the-art, instruction-tuned safety model designed to classify and mitigate risks in both user prompts and model responses across multiple European and global languages.
Coastal regions are becoming increasingly populated and industrialized, with nearly one-third of humanity residing within 100 kilometres of the coast.
This focused project directly supports the broader EuroLLM and OpenEuroLLM initiatives by addressing a critical bottleneck – the availability of high-quality pre-training data.
This focused project directly supports the broader EuroLLM and OpenEuroLLM initiatives by addressing a critical bottleneck – the availability of high-quality pre-training data – distinct from the large-scale model training requested in our parallel Extreme Scale proposals.
This focused project directly supports the broader EuroLLM and OpenEuroLLM initiatives by addressing a critical bottleneck – the availability of high-quality pre-training data.
The project focuses on developing a revolutionary generation of universal snakebite antidotes, answering an urgent WHO health priority.
The goal of this project is to develop an open-source system that can produce video clips that fit any piece of music from an aesthetical standpoint.
Digitalization is a longstanding goal of the EU, with varying degrees of progress among member states. Large language models are a promising catalyst for this process, but the current landscape presents significant challenges.