Self-Supervised Learning: How LLMs Teach Themselves

Self-supervised learning allows large language models to improve themselves by learning from vast amounts of unlabeled data. You might wonder how this works. The model predicts missing parts of text based on surrounding words, which helps it understand context and meaning. This approach scales effectively because it uses freely available text data. Mode…