ai
BERT
Bidirectional Encoder Representations from Transformers
Definition
BERT is a transformer-based language model pre-trained with masked language modeling (predicting hidden tokens using both left and right context). Unlike autoregressive GPT models, BERT's bidirectional encoder produces rich contextual embeddings suitable for classification, question answering, and named entity recognition.
BERT and its variants (RoBERTa, DeBERTa) remain widely used for NLP tasks requiring deep text understanding.
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