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A company wants their AI assistant to answer customer questions in a warm, empathetic tone. They need consistent writing style across all responses. Which prompting technique should they use?
A
Zero-shot prompting
B
Style-based few-shot prompting with example responses
C
Negative prompting
D
Chain-of-thought prompting
Explanation:
Style-based few-shot prompting is the correct technique because:
Consistent Tone Requirement: The company needs a "warm, empathetic tone" across all responses. Style-based few-shot prompting provides examples that demonstrate the desired tone and style.
Few-Shot Learning: By providing example responses that showcase the warm, empathetic tone, the AI model learns to mimic that specific style consistently.
Why Other Options Are Incorrect:
Zero-shot prompting (A): This involves giving no examples, which wouldn't ensure consistent tone or style.
Negative prompting (C): This focuses on what NOT to do rather than establishing a positive, consistent style.
Chain-of-thought prompting (D): This is for complex reasoning tasks where the model shows its step-by-step thinking process, not for establishing consistent writing style.
Practical Application: With style-based few-shot prompting, the company can provide 3-5 example responses that demonstrate the desired warm, empathetic tone, and the AI will learn to generate responses in that same style consistently.