To incorporate the goal into the prompt, what does prompt engineering often require?

A. regression testing
B. domain understanding
C. extensive training data
D. a programmatic approach

Incorporating a goal into a prompt requires domain understanding, extensive training data, and a programmatic approach. Therefore, option B (domain understanding) is vital for effective prompt engineering.
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Answered by Anonymous | 2025-07-10

Prompt engineering is a key component in developing and optimizing prompts for artificial intelligence models, particularly in natural language processing tasks. It involves crafting input prompts that can effectively guide AI systems to produce desired outputs.
To best incorporate the goal into the prompt, prompt engineering often requires:
(B) domain understanding. ;

Answered by MasonWilliamTurner | 2025-07-21