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A company is creating an AI assistant to generate legal summaries. To ensure the model responds in a professional tone, the developer starts the prompt with: "You are an experienced legal advisor. Summarize the following case..." Which prompting strategy does this represent?
A
Chain-of-Thought Prompting
B
Role or Persona-based Prompting
C
Zero-shot Prompting
D
Negative Prompting
Explanation:
This represents Role or Persona-based Prompting because:
The prompt explicitly assigns a specific role ("experienced legal advisor") to the AI model
This technique guides the model to adopt a particular persona, tone, and perspective
By framing the AI as a legal advisor, it encourages professional, authoritative responses appropriate for legal summaries
Comparison with other options:
Chain-of-Thought Prompting: Involves breaking down complex problems into step-by-step reasoning
Zero-shot Prompting: Asking the model to perform tasks without any examples or specific role assignment
Negative Prompting: Telling the model what NOT to do, rather than assigning a positive role
Role-based prompting is particularly effective for ensuring consistent tone, domain-specific language, and appropriate response style for specialized applications like legal summaries.