LLMs as Probability Machines — The Elegance of Next Token Prediction
Large Language Models are complex mathematical functions that predict the next probable token in a sequence. But that simple description masks breathtaking depth: hundreds of billions of learned parameters, parallel transformer attention mechanisms, reinforcement learning from human feedback, and conversational capabilities that emerge from the architecture in ways nobody fully anticipated. This is the complete, honest engineering explanation.