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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
4.
Basic Prompting Techniques
4.1.
Zero-Shot Prompting
4.1.1.
Direct Instruction Approach
4.1.2.
When to Use Zero-Shot Methods
4.1.3.
Limitations and Constraints
4.1.4.
Best Practices for Zero-Shot Prompts
4.1.5.
Common Failure Modes
4.2.
Few-Shot Prompting
4.2.1.
Example Selection Strategies
4.2.2.
Optimal Number of Examples
4.2.3.
Example Quality Considerations
4.2.4.
Example Diversity Requirements
4.2.5.
Formatting Consistency
4.2.6.
Order and Placement Effects
4.2.7.
Bias Avoidance in Examples
4.2.8.
Edge Case Coverage
4.3.
Role-Based Prompting
4.3.1.
Persona Assignment Techniques
4.3.2.
Expertise Specification Methods
4.3.3.
Impact on Output Style
4.3.4.
Impact on Content Quality
4.3.5.
Professional Role Examples
4.3.6.
Character Role Examples
4.4.
Delimiter and Formatting Techniques
4.4.1.
Visual Separation Methods
4.4.2.
Triple Quote Usage
4.4.3.
XML Tag Implementation
4.4.4.
HTML Tag Implementation
4.4.5.
Custom Delimiter Creation
4.4.6.
Hierarchical Structure Indication
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3. Core Components of Effective Prompts
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5. Crafting High-Quality Prompts