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C_AIG_2412 · Question #52

Which of the following is a principle of effective prompt engineering?

The correct answer is A. Use precise language and providing detailed context in prompts. Using precise language and providing detailed context (A) is correct because clear, specific prompts give the AI model the information it needs to produce accurate, relevant responses - ambiguity leads to inconsistent or off-target outputs. Combining multiple complex tasks into…

Prompt Engineering

Question

Which of the following is a principle of effective prompt engineering?

Options

  • AUse precise language and providing detailed context in prompts.
  • BCombine multiple complex tasks into a single prompt.
  • CKeep prompts as short as possible to avoid confusion.
  • DWrite vague and open-ended instructions to encourage creativity.

How the community answered

(45 responses)
  • A
    87% (39)
  • B
    2% (1)
  • C
    9% (4)
  • D
    2% (1)

Explanation

Using precise language and providing detailed context (A) is correct because clear, specific prompts give the AI model the information it needs to produce accurate, relevant responses - ambiguity leads to inconsistent or off-target outputs. Combining multiple complex tasks into one prompt (B) is wrong because it overloads the model, reducing quality on each sub-task; breaking tasks apart yields better results. Keeping prompts as short as possible (C) is wrong because brevity without clarity sacrifices the context the model needs - conciseness should never come at the cost of specificity. Vague, open-ended instructions (D) may seem creative but actually produce unpredictable, unreliable outputs, which is the opposite of effective prompting. Memory tip: Think of prompting like briefing a contractor - the more precise your specs, the better the result.

Topics

#prompt engineering principles#context clarity#prompt design#precise language

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