BERT is a highly influential language representation model that is ingeniously designed to pre-train deep bidirectional representations. It achieves this by leveraging unlabeled text and simultaneously conditioning on both the left and right context across all layers of the model, enabling it to capture comprehensive semantic information from the text.
