bert (bidirectional encoder representations from transformers)
BERT (Bidirectional Encoder Representations from Transformers) refers to a popular type of language model that uses a neural network architecture called transformers to understand the meaning and context of words in a sentence. By considering both the left and right context of each word, BERT can generate representations that capture the relationship between words and their surrounding context, allowing it to better understand and generate more accurate language-based predictions.
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