Artificial Intelligence

What Everybody Ought to Know About BERT

What Everybody Ought to Know About BERT

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BERT (Bidirectional Encoder Representations from Transformers) is a new language representation model. BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. BERT is conceptually simple and empirically powerful. It obtains new state-of-the-art results on eleven natural language processing tasks, including pushing the GLUE score to 80.5%. Table of contents Background What makes BERT different? RankBrain is… Read More »What Everybody Ought to Know About BERT