@wgu/prompt-engineering v1.0.1

Prompt Engineering

The Prompt Engineering Collection encompasses the essential competencies required for individuals involved in the field of prompt engineering. This collection equips professionals with the knowledge and skills necessary to optimize and design effective prompts for various applications and AI systems. It covers a wide range of topics, including prompt selection, construction, and refinement techniques, as well as considerations for ethical guidelines, user experience, and industry standards.

Skill Categories

• Artificial Intelligence (AI)

Skills

Artificial Intelligence (AI)

• Adaptation of Prompt Engineering Approaches JSON
• Addressing AI Prompt Privacy Issues JSON
• AI Prompt Optimal Result Evaluation JSON
• Application of New Knowledge in Prompt Engineering JSON
• Application of Ethical Considerations in Prompt Design JSON
• Application of Prompt Engineering to Different Domains JSON
• Application of Prompt Optimization Techniques JSON
• Effective Prompt Strategies Evaluation JSON
• Assessment of AI Model Performance JSON
• Build Clear and Concise Prompts JSON
• Build Scalable and Maintainable Prompts JSON
• Communication of Intentions Through Prompt Design JSON
• Use AI to Compare Prompts JSON
• Composition of Contextually Appropriate Prompts JSON
• Configuration of Technical Prompt Solutions JSON
• Construction of Device-Agnostic Prompt Solutions JSON
• Construction of Mobile-Friendly Prompt Solutions JSON
• Creation of Accessible Prompt Solutions JSON
• Use Language Models Create Prompts JSON
• Creation of Voice-Friendly AI Prompts JSON
• Use Cognitive Computing to Create AI Prompts JSON
• Creation of Prompts for Specific Applications JSON
• Composition of Well-Structured Prompt Requests JSON
• Use Interactive Learning to Create Prompts JSON
• Use Knowledge Representation to Create Prompts JSON
• Use Syntax to Create Prompts JSON
• Use AI to Create Flexible Prompts JSON
• Creation of Intuitive Prompt Solutions JSON
• Certation of Personalized Prompts JSON
• Creation of Compatible Prompt Solutions JSON
• Inclusion of AI in Prompt Creation JSON
• Incorporate Design Principles in Prompt Creation JSON
• Creation of Prompts for Conversational Interactions JSON
• Creation of Prompts to Different User Groups JSON
• Creation of Prompts to User Roles JSON
• Use AI to Create User-Friendly Prompts JSON
• Description of AI Prompt Engineering Basics JSON
• Use Research Practices to design Prompts JSON
• Design AI Prompts for User Intent JSON
• Design AI Prompts for Different Interfaces JSON
• Design Prompts to the Task JSON
• Build Prompts to Specific Audiences JSON
• Design Prompts to User Needs JSON
• Design Accurate and Natural-Language Prompts JSON
• Guide AI Models with Structured Prompts JSON
• Design AI Prompts for Quick Task Completion JSON
• Facilitate User Interaction through Prompt Design JSON
• Design AI Prompts for Multiple Tasks JSON
• Design Secure and Resilient Prompt Solutions JSON
• Design Secure and Reliable Prompt Solutions JSON
• Use AI to Detect User Data Patterns JSON
• Use Data Mining for Prompts JSON
• Test and Evaluate Prompt Performance JSON
• Development of Automated Prompt Optimization JSON
• Generate Cost-Effective Prompt Engineering Designs JSON
• Development of Customizable Engineering Solutions JSON
• Write Effective Prompts JSON
• Use Natural-Language Prompts JSON
• Use Semantic Analysis to Create Prompts JSON
• Development of Understandable Prompt Solutions JSON
• Development of Compliant Industry Solutions JSON
• Development of Effective Prompt Strategies JSON
• Handle Multiple User Requests with AI Prompts JSON
• Adapt AI Prompts to Changing Context JSON
• Development of AI System-Suitable Prompts JSON
• Development of Versatile Application Prompts JSON
• Development of Platform-Compatible Prompts JSON
• Development of Output-Achieving Prompts JSON
• Development of Output-Aligned Prompts JSON
• Use AI to Develop Expectation-Meeting Prompts JSON
• Development of Responsive Iterative Solutions JSON
• Development of Debugging Solutions JSON
• Accurate Prompt Testing Cases JSON
• Generate Upgradable Prompt Engineering Solutions JSON
• Document AI Prompt Scenarios JSON
• Document Engineering Best Practices JSON
• Prompt Engineering Coding Standards JSON
• Design Principles Documentation JSON
• Use AI to Detect and Eliminate Ambiguity JSON
• Use AI to Eliminate Unnecessary Prompts JSON
• Accurate Data Integrity in Prompt Engineering JSON
• Use Feedback Looks for Prompt Accuracy JSON
• Prompt Error-Free Solutions Evaluation JSON
• Development of Regulation-Compliant Prompts JSON
• Prompt Requirements Evaluation JSON
• Establish Prompt Testing Practices JSON
• Prompt Improvement Solutions Evaluation JSON
• Overall Prompt Accuracy Evaluation JSON
• AI Prompt Engagement Impact Evaluation JSON
• AI Prompt Productivity Impact Evaluation JSON
• Prompt Contextual Effectiveness Evaluation JSON
• Prompt Design Usability Evaluation JSON
• Prompt Contextual Usability Evaluation JSON
• Prompt Solutions Data Privacy Evaluation JSON
• Execute Reliable Prompt Solutions JSON
• Execute Tailored Prompt Solutions JSON
• Explain Prompt Engineering Concepts JSON
• Recognize Limitations of AI Prompts JSON
• Visualize AI User Data JSON
• Use AI Models to Identify Prompt Errors JSON
• Identification of Prompt Engineering Organizational Solutions JSON
• Identification of Prompt Complexity JSON
• Identification of AI User Experience JSON
• Identification of AI User Trust Impact JSON
• Identification of Effective AI Components JSON
• Identification of AI Prompt-User Relationship JSON
• Identification of AI Contextual Role JSON
• Identification of AI Prompt Types JSON
• Identification of AI Design Issues JSON
• Identify AI Prompt Types and Uses JSON
• Implementation of AI Compliant Solutions JSON
• Implementation of AI Optimized Experience JSON
• Implementation of AI Issue Resolution JSON
• Implementation of AI Comprehensive Prompts JSON
• Use Predictive Analytics to Improve Prompts JSON
• Use Reinforcement Learning to Improve Prompts JSON
• Improving AI Model Responses with Prompt Engineering JSON
• Incorporating Context for Refined Model Output JSON
• Data-Informed Prompt Design JSON
• Mitigate AI Prompt Bias JSON
• Mitigate Security Risks in AI Prompt Design JSON
• Use AI to Optimize Prompt Accuracy JSON
• Use AI to Optimize Prompt Design JSON
• Creation of Prompt Solutions for User Engagement JSON
• Experimentation for Prompt Optimization JSON
• Use AI Algorithms JSON
• Context-Sensitive of Prompts JSON
• Use ML to Optimize Prompts JSON
• NLP in Prompt Engineering JSON
• Use Feedback to Refine Prompt Design JSON
• Prompt User Behavior Evaluation JSON
• Resolution of Prompt Issues JSON
• Use Compatible Solutions in Prompt Engineering JSON
• Use Strategic Prompt Design JSON
• Use Configurable Solutions in Prompt Engineering JSON
• Use Best Practices for Prompt Engineering JSON
• Demonstrating Flexibility in Prompt Engineering Techniques JSON
• Validation of AI Prompts JSON

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Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.