Video Summary

The paper proposes a new method for training language models, which is based on the idea of self-supervised learning. The method is called "BERT", which stands for "Bidirectional Encoder Representations from Transformers". BERT is trained on a large corpus of text, and it learns to represent words and phrases in a way that is useful for downstream tasks, such as natural language understanding and question answering.