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A Transformer Model is a type of neural network architecture that revolutionized natural language processing (NLP) tasks. It employ attention mechanism that enables it to recognize connections among various words or elements in a sequence.
Transformer models, including BERT and GPT, have achieved cutting-edge results in various language-related tasks.
