Bidirectional Encoder Representation from Transformers(BERT) is a transformer based machine learning technique created and published in 2018 by Jacob Devlin and his colleagues from Google. In October 2020, almost every single English-based query in Google Search was processed by BERT. BERT is good at natural language understanding.

Bidirectional Encoder Representation from Transformers(BERT) is a transformer based machine learning technique created and published in 2018 by Jacob Devlin and his colleagues from Google. In October 2020, almost every single English-based query in Google Search was processed by BERT. BERT is good at natural language understanding.

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