Self-Supervised Learning

Most large language models are trained using self-supervised learning. This means they learn from vast amounts of unlabeled text data by creating their own labels. A common technique is 'masked language modeling,' where the model learns to predict a hidden (masked) word in a sentence based on its surrounding context.