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It utilizes the Transformer architecture, recognized for its effectiveness in handling sequence-to-sequence jobs and its capability to method large datasets, to interpret and evaluate electronic health records. With its 8.9 billion parameters, GatorTron is properly trained on about 90 billion phrases of scientific textual content, which makes it a