BERT (Bidirectional Encoder Representations from Transformers) is a deep learning model designed to understand the context of words in a sentence by processing text bidirectionally. It significantly improved natural language processing tasks like question answering and sentiment analysis by capturing nuanced language understanding, enabling more accurate and context-aware language models.