Bidirectional Encoder Representations from Transformers (BERT)

Bidirectional Encoder Representations from Transformers (BERT) is a powerful language model developed by Google that understands the context of words in sentences. Unlike earlier models that read text in a single direction, BERT analyzes text from both the left and right sides simultaneously, allowing it to grasp the meaning of words based on their surrounding context. This approach enhances its ability to perform various language tasks, such as answering questions or translating text, making it a significant advancement in natural language processing and understanding.