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Computer Science
Artificial Intelligence
Prompt Engineering
1. Introduction to Prompt Engineering
2. Fundamentals of Large Language Models
3. Core Components of Effective Prompts
4. Basic Prompting Techniques
5. Crafting High-Quality Prompts
6. Advanced Prompting Strategies
7. Prompt Engineering Workflow
8. Task-Specific Applications
9. Security and Safety Considerations
10. Performance Evaluation and Optimization
11. Advanced and Emerging Topics
7.
Prompt Engineering Workflow
7.1.
Iterative Development Process
7.1.1.
Initial Prompt Ideation
7.1.2.
Brainstorming Techniques
7.1.3.
Approach Selection Methods
7.1.4.
Prototype Creation
7.1.5.
Testing Environment Setup
7.1.6.
Execution and Analysis
7.1.7.
Performance Evaluation
7.1.8.
Refinement Strategies
7.2.
Debugging and Troubleshooting
7.2.1.
Failure Mode Identification
7.2.2.
Common Error Patterns
7.2.3.
Model Refusal Analysis
7.2.4.
Hallucination Detection
7.2.5.
Accuracy Issue Resolution
7.2.6.
Output Quality Assessment
7.2.7.
Systematic Error Correction
7.3.
Prompt Library Management
7.3.1.
Version Control Systems
7.3.2.
Template Creation and Reuse
7.3.3.
Modular Component Design
7.3.4.
Documentation Standards
7.3.5.
Organization Strategies
7.3.6.
Sharing and Collaboration
7.3.7.
Maintenance Procedures
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6. Advanced Prompting Strategies
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8. Task-Specific Applications