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BERT (Bidirectional Encoder Representations from Transformers) is a groundbreaking Google NLP model that revolutionized text understanding by analyzing context from both left and right sides simultaneously. Released in 2018, it uses transformer encoders to understand language nuances, excelling at text classification, sentiment analysis, and search query understanding via fine-tuning.