BERT
BERT (Bidirectional Encoder Representations from Transformers) is a language model developed by Google in 2018. Unlike autoregressive models, BERT is bidirectional, looking at the words before and after a target word to understand its context.
Frequently Asked Questions
What is the main difference between BERT and GPT?▼
BERT is an encoder-only model designed to understand context bidirectionally. GPT is a decoder-only model designed to generate text autoregressively.
What is masked language modeling in BERT?▼
A training method where words in a sentence are hidden (masked) and the model is trained to predict the hidden words based on surrounding context.
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