Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?

The correct answer is C. grounding data. Grounding data refers to providing specific, contextual information or facts that the generative AI can use to produce more accurate and relevant responses. This technique ensures that the AI’s outputs are closely aligned with the desired context or domain. By grounding the AI…

Submitted by takeshi77· Mar 30, 2026Describe features of generative AI workloads on Azure

Question

Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?

Options

Aproviding examples
Bfine-tuning
Cgrounding data
Dsystem messages

How the community answered

(24 responses)

A
8% (2)
C
88% (21)
D
4% (1)

Explanation

Grounding data refers to providing specific, contextual information or facts that the generative AI can use to produce more accurate and relevant responses. This technique ensures that the AI’s outputs are closely aligned with the desired context or domain. By grounding the AI with reliable, context-specific data, the quality and relevance of its responses improve significantly.

Topics

#Prompt engineering#Generative AI#Grounding data

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