You configure the following system message:“You are an AI assistant that helps people solve mathematical...

Comprehensive and Detailed 150 to 250 words of Explanation From Azure AI Apps and Agents Developer/Course Guide/topics:

The system message is an example of priming because it establishes contextual expectations before the user supplies the actual mathematical problem.

The first sentence assigns the model a role: an assistant specialized in mathematical puzzles. The second establishes the expected communication style and audience level by requiring explanations suitable for a four-year-old. These instructions influence subsequent responses without modifying model weights.

It is not few-shot learning because no input/output examples are provided. Few-shot prompting would include several representative puzzles together with correctly formatted answers.

It is not chain-of-thought because the prompt does not explicitly provide or request a structured sequence of intermediate reasoning steps. An affordance is a cue that indicates a possible behavior or completion, but role and behavioral context established through a system message is most accurately described by the available option priming .

This technique is commonly used to establish persona, domain boundaries, tone, output style, and operating assumptions for a generative application.

The AI-103 Study Guide includes prompt engineering and adjustment of model behavior as part of optimizing generative AI systems. Microsoft Learn

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