BERT Discussions

BERT, short for Bidirectional Encoder Representations from Transformers, is a machine learning (ML) framework for natural language processing. In 2018, Google developed this algorithm to improve contextual understanding of unlabeled text across a broad range of tasks by learning to predict text that might come before and after (bi-directional) other text. When users leave BERT reviews, G2 also collects common questions about the day-to-day use of BERT. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.