Learning patterns from examples
A language model is trained on large collections of text and learns statistical patterns in how language is used. It does not store a simple list of answers to retrieve for every question.
One piece at a time
When generating text, the model estimates which token is likely to come next given the context. It repeats this process, building a response token by token.
Why confident mistakes happen
A fluent answer is not proof that a statement is true. Models can produce plausible-sounding errors, especially when the prompt is ambiguous or the topic requires information they do not have.
Use the tool thoughtfully
AI can help explain, brainstorm, summarize and accelerate many tasks. For important decisions, verify factual claims against reliable primary sources and treat generated output as a starting point.