BERT

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a language processing model developed by Google. It understands the context of words in sentences by considering the surrounding words, which allows it to capture the nuanced meaning of phrases. Unlike traditional models that read text in a single direction, BERT looks at text both ways, enhancing its comprehension. This capability helps improve various tasks, such as answering questions and understanding the intent behind searches, making it a powerful tool for natural language understanding in applications like chatbots and search engines.