How self-supervised language revolutionized natural language processing and gen AI

Self-supervised learning trains models on raw data by predicting hidden portions of the data itself, eliminating the need for human-annotated labels. This technique, lying between supervised and unsupervised learning, is widely used in language models like BERT and ChatGPT through tasks such as masked language modeling and next token prediction.