Techniques to Improve Generative AI Model Output →easyMultiple ChoiceObjective-mapped

Generative AI Leader Practice Question: Techniques to Improve Generative AI Model Output

Exhibit

User: Translate the following sentence to French: Hello, how are you?
Model: Bonjour, comment vas-tu?
Expected: Bonjour, comment allez-vous? (formal)

Refer to the exhibit. A user wants formal translations from a generative AI model, but the model outputs informal style inconsistently. Which prompt engineering technique would best ensure consistent formal translations?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Provide a few-shot example with formal and informal pairs

Providing a few-shot example that explicitly demonstrates the desired formal translation guides the model to follow that pattern. System instructions can help but are less direct.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Use context caching
Why it's wrong here
Caching does not alter model behavior.
✓
Provide a few-shot example with formal and informal pairs
Why this is correct
Correct: Few-shot examples directly show the expected output format.
✗
Use a longer system prompt with detailed rules
Why it's wrong here
While helpful, detailed rules may not be as effective as examples for style.
✗
Set top_k to 1
Why it's wrong here
This makes output deterministic but does not enforce formal tone.

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Generative AI Leader Practice Question: Techniques to Improve Generative AI Model Output

Exhibit

Why each option matters

Option-by-option breakdown

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