Prompt Engineering Framework

A Prompt Engineering Framework is an engineering framework that provides structured methodologies and tools for developing effective prompts for ai systems.

• AKA: Prompt Development Framework, Prompt Design Framework, Prompt Methodology Framework.
• Context:
  • It can typically define Prompt Engineering Methodologys with framework principles.
  • It can typically establish Prompt Quality Standards through framework metrics.
  • It can typically provide Prompt Development Workflows using framework processes.
  • It can often include Prompt Pattern Librarys for framework reusability.
  • It can often incorporate Prompt Testing Protocols through framework validation.
  • It can range from being a Lightweight Prompt Engineering Framework to being a Comprehensive Prompt Engineering Framework, depending on its framework scope.
  • It can range from being a Domain-Specific Prompt Engineering Framework to being a General-Purpose Prompt Engineering Framework, depending on its framework applicability.
  • It can range from being a Prescriptive Prompt Engineering Framework to being a Adaptive Prompt Engineering Framework, depending on its framework flexibility.
  • It can range from being a Individual Prompt Engineering Framework to being a Team Prompt Engineering Framework, depending on its framework collaboration support.
  • ...
• Examples:
  • User-Centric Prompt Engineering Frameworks, such as:
    • Accessibility-Focused Prompt Engineering Framework for inclusive design.
    • Skill-Based Prompt Engineering Framework for expertise adaptation.
  • Technical Prompt Engineering Frameworks, such as:
    • Declarative Prompt-Programming Framework for structured programming.
    • Object-Oriented Prompt Engineering Framework for modular design.
  • Process-Oriented Prompt Engineering Frameworks, such as:
    • Agile Prompt Engineering Framework for iterative development.
  • ...
• Counter-Examples:
  • Ad-Hoc Prompt Method, which lacks systematic structure and framework organization.
  • Model Training Framework, which focuses on parameter optimization rather than prompt engineering.
  • Data Processing Framework, which handles data pipelines rather than prompt methodology.
• See: Engineering Framework, User-Centric Prompt Engineering Framework, Declarative Prompt-Programming Framework, Software Development Framework, AI Development Framework, Methodology Framework, Design Pattern Framework.

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