Tucano: Advancing Neural Text Generation for Portuguese

Preprint Arxiv, 2024

This study takes on one of the biggest challenges in the world of NLP: creating sustainable and equitable access to capable language models for low-resource languages.

The attribution problem of a seemingly intangible industry

Environmental Challenges, 2024

By using the planetary boundary framework this paper show AI's environmental impacts beyond carbon emissions on 6 out of 9 PBs in a variety of complex ways. Further, it analyses how the EU AI Act fails to address the environmental challanges posed by AI development.

Challenging AI for Sustainability: What ought it mean?

AI & Ethics, 2023

This paper argues that the terms ‘Sustainable artificial intelligence (AI)’ in general and ‘Sustainability of AI’ in particular are overused to the extent that they have lost their meaning. We aim to create a common understanding of what the ‘AI for Sustainability’ movement ought to mean.

TeenyTinyLlama: open-source tiny language models

Machine Learning With Applications, 2024

TeenyTinyLlama is a pair of compact models for Brazilian Portuguese text generation. We release them under the permissive Apache 2.0 license on GitHub and Hugging Face for community use and further development.

Short Talk

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Prizes & Awards

“Tucano: Advancing Neural Text Generation for Portuguese” won the competition for the most interesting results among projects using the supercomputer "Marvin" at Bonn University.