BERT (Bidirectional Encoder Representations from Transformers)

BERT, which stands for Bidirectional Encoder Representations from Transformers, is an advanced language model developed by Google. It understands the context of words in a sentence by analyzing the entire sentence at once, rather than just word-by-word. This bidirectional approach allows it to capture nuances and meanings based on surrounding words, making it effective at tasks like answering questions, understanding text, and even translating languages. Essentially, BERT improves how machines comprehend human language, enabling more natural interactions between people and technology.