BERT is a pre-trained language model developed by Google that achieved state-of-the-art results on various NLP tasks. It uses a multi-layer bidirectional transformer encoder to generate contextualized representations of words. You can use BERT for tasks like text classification, sentiment analysis, and question answering. The model has been widely adopted and has inspired numerous variants and applications.