Google BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language processing model developed by Google. It uses deep learning techniques to understand the context and meaning of words in a sentence and generate more accurate responses to natural language queries.
BERT is particularly useful in tasks such as question answering, sentiment analysis, and natural language generation. It has been applied in a variety of Google products such as search, Google Assistant, and Gmail.
Overall, BERT is a powerful tool that helps Google and other companies improve their natural language processing capabilities, making it easier for users to interact with computers and obtain the information they need.