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 "SimCSE", and it stands for "Simultaneous Contrastive Learning of Semantic Embeddings". SimCSE works by training a language model to predict the next sentence in a context, while also predicting whether two sentences are paraphrases of each other. The authors argue that this method helps to improve the language model's ability to understand the meaning of sentences, and to generate new text.