A Transformer is a deep learning architecture that processes sequential data through self-attention mechanisms, enabling parallel computation and long-range dependency modeling. It powers modern AI systems like language translation, text generation, and image recognition. Developers, data scientists, and businesses benefit from its efficiency in handling complex tasks, from chatbots to recommendation engines.
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