You'll understand that a model is a mathematical system trained to recognize patterns in data and make predictions based on those patterns.
You'll learn how language models predict the next word by learning patterns from text, and why this simple task leads to understanding language.
You'll grasp how transformers use attention mechanisms to focus on relevant words when making predictions, enabling them to understand context.
You'll discover how larger models trained on more data develop unexpected new capabilities that weren't explicitly programmed—a phenomenon called emergence.
