Language models operate by predicting text based on input prompts, functioning more like complex algorithms than traditional understanding of language. The key to their operation lies in tokenization, which transforms text into numerical representations that machines can process. By grasping these concepts, the perceived magic of AI-generated outputs becomes clearer, revealing the intricate workings behind the technology.
