Prompt engineering is the practice of deliberately structuring instructions, context and examples to get more accurate and consistent answers from an AI model.
A well-built prompt clearly defines the goal, the expected output format, the relevant context and, when needed, examples of the desired result. Structured prompt frameworks help turn loose prompts into repeatable, reliable instructions, reducing the variation in quality from one attempt to the next.
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