AI System Prompt

An AI System Prompt is an AI system instruction set that contains AI configuration directives for an AI system.

• AKA: AI System Instructions.
• Context:
  • It can typically establish the AI System Operational Domain with AI system task scopes, AI system permissions, and AI system functional boundary definitions.
  • It can typically define AI System Behavior Rules such as AI system ethical guidelines, AI system bias mitigation requirements, and AI system safety protocols.
  • It can typically specify AI System Tool Access Parameters for using AI system external resources like AI system search engines, AI system databases, or AI system code execution environments.
  • It can typically configure AI System Response Characteristics including AI system style, AI system format, AI system tone, and AI system detail level.
  • It can typically set AI System Moderation Parameters to filter AI system inappropriate content or enforce AI system content policies.
  • It can typically outline AI System Error Handling Procedures for managing AI system edge cases, AI system misunderstandings, or AI system operational failures.
  • It can typically establish AI System Knowledge Limitations such as AI system knowledge cutoff dates or explicit AI system knowledge boundaries.
  • It can typically provide AI System Context Management Directives for handling AI system session history and AI system conversation memory.
  • It can typically implement AI System Security Protocols to prevent AI system prompt injections, AI system jailbreaking, and other AI system security vulnerabilities.
  • It can typically define AI System Personality Attributes that shape how the AI system presents itself to AI system users.
  • ...
  • It can range from being a Simple AI System Prompt to being a Complex AI System Prompt, depending on its AI system instruction complexity.
  • It can range from being a General-Purpose AI System Prompt to being a Domain-Specific AI System Prompt, depending on its AI system application scope.
  • It can range from being a Static AI System Prompt (fixed instructions without runtime adjustments) to a Dynamic AI System Prompt (real-time adaptation based on user interactions or environmental factors), depending on its capacity for contextual evolution.
  • It can range from being an Opaque AI System Prompt (hidden decision-making processes) to a Transparent AI System Prompt (explicit disclosure of reasoning steps and source attributions), depending on its explainability requirements.
  • It can range from being a Fixed-Structure AI System Prompt (rigid template-based responses) to a User-Customizable AI System Prompt (end-user modifiable parameters for tone/style/output format), depending on configuration flexibility.
  • ...
  • It can evolve through AI System Prompt Versions as AI system capability advances and AI system safety requirements change.
  • It can integrate with AI System User Preference Settings to customize AI system behavior for specific AI system interaction contexts.
  • It can implement AI System Legal Compliance Directives to satisfy AI system regulatory requirements across different AI system jurisdictions.
  • ...
• Examples:
  • AI System Chatbot Prompts configuring AI system conversational behavior, such as:
    • GPT-4 AI System Prompt defining OpenAI AI large language model behavior with strong AI system safety constraints.
    • Claude AI System Prompt establishing Anthropic AI system assistant constraints and AI system ethical guidelines.
    • Gemini AI System Prompt configuring Google AI system chatbot parameters and AI system error handling procedures.
  • AI System Image Generation Prompts implementing AI system moderation parameters, such as:
    • DALL-E AI System Prompt for AI system image creation parameters and AI system image content filters.
    • Midjourney AI System Prompt defining AI system visual style guidelines and AI system artistic rendering constraints.
    • Stable Diffusion AI System Prompt establishing open-source AI system image model behavior and AI system bias mitigation requirements.
  • AI System Code Generation Prompts specifying AI system tool access parameters, such as:
    • GitHub Copilot AI System Prompt for AI system code suggestion parameters and AI system security protocols.
    • Cursor AI System Prompt determining AI system code editor assistant behavior and AI system knowledge limitations.
    • Amazon CodeWhisperer AI System Prompt configuring AWS AI system code generation constraints and AI system context management directives.
  • AI System Enterprise Prompts establishing AI system operational domain, such as:
    • Microsoft Copilot for Business AI System Prompt implementing enterprise AI system data security rules and AI system functional boundary definitions.
    • Salesforce Einstein AI System Prompt defining CRM AI system assistance parameters and AI system personality attributes.
    • ServiceNow AI System Prompt establishing IT AI system workflow automation guidelines and AI system response characteristics.
  • AI System Specialized Task Prompts demonstrating domain-specific AI system prompt characteristics, such as:
    • AI System Document Analysis Prompt for processing AI system document structure with specialized AI system task scopes.
    • AI System Translation Prompt specifying AI system language translation parameters and AI system cultural sensitivity requirements.
    • AI System Scientific Research Prompt guiding AI system scientific data analysis with rigorous AI system knowledge boundaries.
  • AI System Legal Assistant Prompts implementing AI system legal compliance directives, such as:
    • Legal Research AI System Prompt for navigating AI system jurisdiction-specific requirements.
    • Contract Analysis AI System Prompt implementing AI system document confidentiality protocols.
    • Compliance Monitoring AI System Prompt enforcing AI system regulatory requirements.
  • ...
• Counter-Examples:
  • AI User Prompt, which is provided by the AI system end-user rather than being pre-configured at the AI system level, and lacks the persistent AI system behavioral guidelines that define an AI system prompt.
  • AI Model Training Dataset, which provides AI system learning examples rather than AI system operational instructions, and cannot dynamically control AI system runtime behavior like an AI system prompt.
  • AI Model Parameter, which defines the AI system technical architecture rather than AI system behavioral guidelines, and operates at the infrastructure level instead of the interaction level of an AI system prompt.
  • AI Technical Configuration File, which controls AI system infrastructure settings rather than AI system behavioral directives, and typically lacks the natural language structure characteristic of an AI system prompt.
  • AI Fine-Tuning Directive, which modifies AI system model weights rather than providing AI system runtime instructions, and permanently alters the AI system instead of providing session-specific guidance like an AI system prompt.
• See: Prompt Engineering, AI Safety, AI System Security, AI Behavior Design, AI Content Policy, AI Instruction Following, AI Prompt Injection, AI System Configuration.

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