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BERT is a state-of-the-art embedding model published by Google. It represents a breakthrough in the field of NLP by providing excellent results on many NLP tasks, including question answering, text generation, sentence classification, and more. BERT relates each word in a sentence to all the other words in the sentence to understand the contextual meaning of every word. The BERT model is based on the transformer model, called Bidirectional Encoder Representations from Transformers.