Tucano: A Series of Decoder-Transformers Natively Pre-Trained in Portuguese

Natural Language Processing (NLP) has advanced significantly with deep learning, driven by innovations like word embeddings and transformer architectures. Self-supervised learning uses vast amounts of unlabeled data to create pretraining tasks and has become a key approach for training models, especially in high-resource languages like English and Chinese. The disparity in NLP resources and performance […]

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