The system message you provided- "You are an AI assistant that helps people solve mathematical puzzles.
Explain your answers as if the request is by a 4-year-old." -is classic priming (also called system prompt
/role prompting). Priming sets the assistant's persona, objectives, tone, and constraints before any user message, steering all subsequent responses accordingly.
Why the other options are incorrect:
A). Few-shot learning - supplies example Q & A pairs in the prompt to teach the model by example; none were included here.
B). Affordance - relates to interface cues that guide users; not a prompt technique for model behavior.
C). Chain of thought - asks the model to show intermediate reasoning steps; your prompt doesn't request step- by-step rationale, only a style/tone.
Microsoft Azure AI References
Azure OpenAI - Prompt engineering techniques (role/system prompts, priming).
Azure OpenAI - System message (role) guidance for controlling assistant behavior and tone.