BERT (model)

BERT (Bidirectional Encoder Representations from Transformers) is a sophisticated language model developed by Google that understands the context of words in a sentence by looking at both the words before and after them. Unlike earlier models that read text in one direction, BERT processes information bidirectionally, enabling it to grasp nuanced meanings and relationships between words. This deep understanding allows BERT to excel at tasks like answering questions, translating languages, and analyzing sentiment, making it a powerful tool for many natural language processing applications in a variety of fields.