Prompt engineering is the practice of designing, refining, and optimizing the text inputs (prompts) given to AI models to elicit the most useful, accurate, and relevant outputs. It encompasses techniques like few-shot examples, role assignment, formatting instructions, and iterative refinement to maximize the quality of AI-generated responses.
A vague prompt like "Tell me about dogs" produces a generic response. An engineered prompt like "Write a 200-word overview of the top 3 dog breeds for apartment living, including size, temperament, and exercise needs in a comparison table" produces a focused, actionable result.
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