NCA-GENL Question 56
Select 4You are tasked with creating a prompt to generate a detailed technical summary of a new AI algorithm using a large language model (LLM). Despite multiple attempts, the responses are either too vague or lack technical depth. Which of the following prompt engineering techniques should you apply to achieve the desired result?
- A
Provide clear instructions to specify the technical depth and format of the response.
- B
Include examples of what a detailed technical summary should look like.
- C
Use a vague and open-ended prompt to allow the model maximum creativity.
- D
Add constraints like word counts to ensure the response is concise and focused.
- E
Incorporate specific keywords and domain-specific jargon relevant to the AI algorithm.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
Effective prompt engineering involves providing clear instructions, relevant examples, and specific constraints to guide the model towards generating the desired output. In this scenario, vague prompts do not provide sufficient structure, while techniques like using examples, constraints, and domain-specific language significantly improve the likelihood of obtaining a detailed and accurate technical summary.
- A. Correct.
Providing clear instructions ensures the model understands the level of detail and format expected, which is crucial for generating a technical summary.
- B. Correct.
Including examples helps the model learn the desired style and structure, improving the quality of the generated response.
- C. Incorrect.
Using a vague and open-ended prompt often leads to generic results, which is not suitable for a detailed technical summary.
- D. Correct.
Adding constraints like word counts can help focus the response while maintaining clarity and conciseness.
- E. Correct.
Incorporating specific keywords and domain-specific jargon helps guide the model to generate more relevant and accurate content.