How Do Large Language Models Actually Work?
A large language model generates text by predicting likely next tokens from context. That is the shared mechanism behind tools people call ChatGPT-style assistants — and why clear context changes what you get.
What are tokens in AI?
Models don’t always read whole words the way people do. Text is split into tokens — pieces of words or characters — and the model works over that sequence when it predicts what should come next.
How does an LLM generate text?
Generation is repeated next-token prediction: given the tokens so far, choose a likely continuation, append it, and continue. How you frame the task — goals, constraints, and context — shapes those predictions.
Same model, different results
Experienced users often get better outcomes from the same LLM by specifying the job clearly and iterating — not by assuming the model already knows what they mean.