BERT is a deep learning model developed by Google AI Research that uses unsupervised learning to understand natural language queries. It is based on the Generative Pre-trained Transformer model (GPT) and is designed to understand the context of words in a sentence, allowing it to perform tasks such as sentiment analysis, question-answering, and named entity recognition with high accuracy.
