BERT Language Models

BERT (Bidirectional Encoder Representations from Transformers) is a pretrained transformer model released by Google in 2018. Unlike earlier unidirectional models, BERT reads text bidirectionally (simultaneously understanding left and right context), making it excellent for understanding meaning. BERT is pretrained on massive text corpora and can be fine-tuned for specific NLP tasks (classification, entity recognition, semantic search) with minimal labeled data. - Transfer learning: Pretrained on billions of words; fine-tuning requires little data