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BERT

concept · part of Transformer

A Transformer variant used for text classification, translation, summarization, and generation.

Bidirectional Encoder Representations from Transformers (BERT) uses bidirectional attention to understand context from both sides of a word, making it effective for tasks like NER and question answering.

BERT is a contextual model that captures the meaning of words in relation to the entire sentence. It helps NLP systems handle ambiguity and complex language structures. Recommended for tasks requiring deep contextual understanding.

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