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Bidirectional encoder-only transformer language model by Google (2018)
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BERT (Bidirectional Encoder Representations from Transformers) is a language model introduced by Google researchers in October 2018. It uses the encoder portion of the transformer architecture with bidirectional training to produce contextualized word embeddings. Google began using BERT in its search engine in October 2019 to better understand search queries.
BERT (Bidirectional Encoder Representations from Transformers) is a language model introduced by Google researchers in October 2018. It uses the encoder portion of the transformer architecture with bidirectional training to produce contextualized word embeddings. Google began using BERT in its search engine in October 2019 to better understand search queries.
