The image depicting the BERT model architecture showcases its components: The embedding section consists of token, segment, and positional embeddings, followed by a dropout layer. The encoder_layer ...

In this paper, we have investigated a bi-directional training model-BERT (Bidirectional Encoder Representations from Transformers). BERT builds on top of the bidirectional idea as compared to other ...

Language modeling is the task of assigning a probability distribution over sequences of words that matches the distribution of a language. A language model is required to represent the text to a form ...