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BERT, everyone's favorite transformer costs Google ~$7K to train (and who knows how much in R&D costs). From there, we write a couple of lines of code to use the same model - all for free.
BERT has enjoyed unparalleled success in NLP thanks to two unique training approaches, masked-language modeling (MLM), and next sentence prediction (NSP).
MLM consists of giving BERT a sentence and optimizing the weights inside BERT to output the same sentence on the other side.
So we input a sentence and ask that BERT outputs the same sentence.
However, before we actually give BERT that input sentence - we mask a few tokens.
So we're actually inputting an incomplete sentence and asking BERT to complete it for us.
How to train BERT with MLM:
• Training BERT #2 - Tra...
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Medium article:
towardsdatascience.com/masked...
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📖 If membership is too expensive - here's a free link:
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