Describe the basic inference loop that turns a prompt into generated text one token at a time.
A stakeholder thinks the model found a stored decision called Option B. You need to explain the actual generation loop in plain language. SIPOC for generation: prompt supplier -> token input -> transformer process -> token output -> human customer The common trap is describing the model as if it retrieves a complete answer from memory. That makes failures look like dishonesty instead of prediction under context. Supplier The user supplies the prompt: "The renewal risk is" plus account context. The model cannot use evidence that is not in its context or connected through tools. Input The text becomes tokens:…
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