How would you characterize the BERT model's strengths and give a detailed explanation of its framework?

Question

Anonymous · Accepted Answer

BERT is a bidirectional transformer model that is trained on a large corpus of
data.
It is great for usecases where we need to understand the context of the text,
since it checks for both preceding and successive words to understand the
context better.

How would you characterize the BERT model's strengths and give a detailed explanation of its framework?

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