How Do Large Language Models Actually Learn?

Large Language Models learn by identifying patterns within vast amounts of text. They use self-supervised learning to predict the next word in a sequence, which helps them generate text that feels natural and coherent. These models rely on neural networks, which mimic the way your brain processes information, and transformer architectures, which allow t…