A neural network architecture that revolutionized natural language processing by using attention mechanisms to process sequential data more effectively than previous approaches. Transformers form the foundation of large language models like GPT and BERT. They can process all parts of a sequence simultaneously, making them more efficient and capable of capturing long-range dependencies in data.
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