What is BERT?
BERT stands for Bidirectional Encoder Representations from Transformers. It's a model designed to understand the context of words in a sentence.
How does BERT differ from other models?
Unlike traditional models, BERT reads text bidirectionally, meaning it considers the context from both sides of a word.
What are some applications of BERT?
BERT is used in various applications like search engines, chatbots, and sentiment analysis to improve understanding of language.
Can you explain how BERT is trained?
BERT is trained using a method called masked language modeling, where some words are hidden, and the model learns to predict them.
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