NCA-GENM Question 191
Select 3You are tasked with generating detailed customer support responses using a generative AI model. The initial outputs are too brief and lack the required depth. Which prompt engineering techniques can you use to influence the model's output to provide more comprehensive responses?
- A
Ask the model to structure the response in multiple paragraphs with specific details.
- B
Use vague and open-ended instructions to allow the model more creative freedom.
- C
Incorporate examples of desired response formats within the prompt.
- D
Specify a target audience or tone for the response in the prompt.
- E
Limit the token count in the prompt to ensure concise answers.
Show answer and explanation
Correct answers: A, C, D
Explanation
To enhance the depth and quality of generative AI outputs, effective prompt engineering techniques include providing structure, using examples, and specifying context or tone in the prompt. These methods guide the model toward generating detailed and relevant responses. However, vague instructions or token limitations may hinder the desired outcome.
- A. Correct.
Asking the model to structure its response in multiple paragraphs with specific details helps guide it to generate more comprehensive outputs, addressing the issue of brevity.
- B. Incorrect.
Using vague and open-ended instructions can lead to inconsistent or incomplete outputs, which doesn't solve the problem of insufficient depth.
- C. Correct.
Providing examples of the desired response format within the prompt gives the model a clear understanding of what is expected, improving the quality and comprehensiveness of the output.
- D. Correct.
Specifying a target audience or tone helps the model tailor its response to meet specific needs, often resulting in more relevant and detailed answers.
- E. Incorrect.
Limiting the token count in the prompt is counterproductive in this scenario, as it would restrict the model's ability to generate comprehensive responses.