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Prompt Engineering

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  • What is the first key element of writing a great prompt?
    Context — setting the scene or providing background details
  • The “Least to Most” technique solves problems by starting with which type first?
    Simpler subproblems
  • Organisations that master prompt engineering gain what advantage?
    A competitive edge in their industry
  • What is a prompt in the context of AI?
    The instruction or request given to AI — how you tell it what to do
  • Which of the following is a vague prompt: “Explain three coding principles in Python” or “Tell me about coding”?
    “Tell me about coding”
  • In marketing, prompt engineering helps create what type of content?
    Targeted and compelling content
  • What does AI stand for?
    Artificial Intelligence
  • In supply chain management, what does discrepancy identification help detect?
    Anomalies in inventory, shipping, and procurement data
  • How would you describe AI in simple terms?
    Technology that lets computers think, learn, and make decisions like humans
  • Name one everyday example of AI that most people use without realising it.
    ChatGPT, Google Assistant, or product suggestions on shopping websites
  • If you want the AI to respond in a friendly or formal way, which prompt element do you adjust?
    Tone
  • What does “Chain of Thought” prompting help AI do?
    Think through problems step-by-step for better accuracy
  • The ability to design effective prompts is becoming as valuable as what traditional skill?
    Coding
  • What term describes using specific cues to direct AI output in alignment with business needs?
    Directional Stimulus
  • Which prompt engineering technique would be most suitable for AI risk assessment in supply chains?
    Scenario Modelling
  • Which business functions can benefit from AI prompt engineering?
    Marketing, Supply Chain, Human Resources, Economics, Accounting
  • What is the main goal of prompt engineering?
    To guide AI systems toward generating specific, desired outputs
  • Businesses using prompt engineering in supply chains improved forecast accuracy by how much?
    Up to 35%
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