In deep learning, NLP refers to using neural network models - such as Transformers like BERT and GPT - to analyse language. Deep learning enables NLP tasks such as language translation, text generation, and sentiment analysis to achieve higher accuracy by recognising patterns in large data sets. These models can understand context and meaning in language much more effectively than traditional methods.
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