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The article introduces a novel machine learning model, called the Transformer, that achieves state-of-the-art performance on a variety of natural language processing tasks. The Transformer architecture leverages attention mechanisms to capture long-range dependencies in the data, leading to significant improvements in tasks such as machine translation, language understanding, and text generation.