Generative AI creates text using Large Language Models (LLMs) trained on vast datasets. It uses a Transformer architecture to understand context by breaking language into "tokens."
Instead of understanding meaning like a human, the AI uses complex mathematical probabilities to predict the most likely next word in a sequence based on your prompt. By repeating this prediction process billions of times per second, it generates coherent, human-like sentences. Essentially, it is a highly advanced pattern-recognition engine that "calculates" the best response to any given input.