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VOCABULARY

Pre-trained Transformer

A pre-trained transformer is a type of neural network model that has been previously trained on a large dataset and can be fine-tuned for various specific tasks. Transformers are known for their effectiveness in handling sequential data, particularly for NLP tasks.

The Significance of Pre-trained Transformers

These models, like BERT and GPT, have revolutionized NLP by providing a powerful framework for understanding language. They can be adapted for a range of applications like text classification, translation, and question-answering with relatively little additional training data.

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