AI Prompt Design Pattern
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An AI Prompt Design Pattern is a design pattern that provides a reusable solution for effectively communicating with artificial intelligence systems to achieve specific outcomes.
- Context:
- It can typically structure AI Prompt Instruction with AI prompt components, AI prompt sections, and AI prompt formatting conventions.
- It can typically improve AI Response Quality through AI prompt clarity, AI prompt specificity, and AI prompt contextual information.
- It can typically optimize AI Task Completion by incorporating AI prompt goal statements, AI prompt constraints, and AI prompt success criteria.
- It can typically enhance AI Reasoning Process through AI prompt thinking steps, AI prompt self-check mechanisms, and AI prompt reflection techniques.
- It can typically guide AI Output Format using AI prompt template structures, AI prompt example outputs, and AI prompt formatting requirements.
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- It can often incorporate AI Few-Shot Learning through AI prompt demonstration examples, AI prompt input-output pairs, and AI prompt pattern illustrations.
- It can often address AI Limitation by including AI prompt fallback instructions, AI prompt error handling guidance, and AI prompt boundary recognition.
- It can often facilitate AI Collaboration through AI prompt role definitions, AI prompt interaction protocols, and AI prompt feedback mechanisms.
- It can often enable AI Creativity with AI prompt exploration parameters, AI prompt novelty incentives, and AI prompt divergent thinking triggers.
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- It can range from being a Simple AI Prompt Design Pattern to being a Complex AI Prompt Design Pattern, depending on its AI prompt component complexity.
- It can range from being a Task-Specific AI Prompt Design Pattern to being a General-Purpose AI Prompt Design Pattern, depending on its AI prompt application scope.
- It can range from being a Rigid AI Prompt Design Pattern to being a Flexible AI Prompt Design Pattern, depending on its AI prompt adaptation capability.
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- It can have AI Prompt Efficiency for AI prompt token optimization.
- It can provide AI Prompt Transferability across AI prompt different models.
- It can support AI Prompt Modularity for AI prompt component reuse.
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- Examples:
- Instructional AI Prompt Design Patterns, such as:
- Structural AI Prompt Design Patterns, such as:
- Format-Based AI Prompt Design Patterns, such as:
- Template-Based AI Prompt Design Patterns, such as:
- Interaction AI Prompt Design Patterns, such as:
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- Counter-Examples:
- Unstructured Querys, which lack AI prompt systematic organization and AI prompt clear objective.
- Vague Instructions, which omit AI prompt specific guidance and AI prompt success criteria.
- Contradictory Requirements, which contain AI prompt conflicting constraints and AI prompt incompatible goals.
- See: Prompt Engineering Technique, AI Interaction Design, Natural Language Instruction, Structured Prompt Format, AI Response Pattern.