Bidirectional  Encoder Representations from Transformers or BERT, which was open sourced late last year, offered a new ground to embattle the intricacies involved in understanding the language models.  BERT uses WordPiece embeddings with a 30,000 token vocabulary and learned positional embeddings with supported sequence lengths up to 512 tokens. It helped explore the unsupervised pre-training…

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