Prompt Engineering
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
The technique of designing natural language instructions (prompts) given to AI to guide the model to generate more accurate and high-quality outputs.
SCAFFOLDING EFFECT
Reduce cognitive load
The programming language of the AI era. It reminds us that the core skill of the future is no longer memorizing answers, but learning to 'ask questions'. The quality of your thinking determines the quality of AI.
Anchor fast decisions
Natural language prompts are the 'interface' between humans and models: the model generates output based on the constraints, context, and examples in the prompt. The quality of the prompt (clarity, structure, information content) directly determines the quality of the output—asking good questions is more important than memorizing answers.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E6%8F%90%E7%A4%BA%E5%B7%A5%E7%A8%8Bverified
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SAVED Q&A
ENTRY Q&A · Private saving available
Ask with a clear boundary
thinkingmodels answers from published entry context only.
Your question is sent to thinkingmodels. The answer uses public entry context only.
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