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    Prompt Engineering

    The practice of crafting effective inputs to get desired outputs from language models.

    Why it matters

    • Dramatically affects AI output quality
    • Can reduce costs by getting results faster
    • Essential skill for working with LLMs

    When to use

    • When building any LLM-powered feature
    • When AI outputs are not meeting expectations
    • For optimizing AI system performance

    Common mistakes

    • Writing vague or ambiguous prompts
    • Not testing prompts with edge cases
    • Ignoring prompt injection security risks

    Related terms

    LLMRAG (Retrieval-Augmented Generation)Function CallingHallucination
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