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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
5.
Crafting High-Quality Prompts
5.1.
Clear Communication Principles
5.1.1.
Simplicity and Conciseness
5.1.2.
Ambiguity Avoidance Strategies
5.1.3.
Positive vs Negative Instruction Framing
5.1.4.
Precision in Language Use
5.1.5.
Cultural and Linguistic Considerations
5.2.
Complex Prompt Structure
5.2.1.
Sequential Task Breakdown
5.2.2.
Multi-Step Instruction Design
5.2.3.
Technique Combination Strategies
5.2.4.
Context and Instruction Layering
5.2.5.
Hierarchical Information Organization
5.3.
Output Control Methods
5.3.1.
Format Specification Techniques
5.3.2.
Template-Based Approaches
5.3.3.
Example-Driven Formatting
5.3.4.
Constraint Definition
5.3.5.
Quality Control Indicators
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4. Basic Prompting Techniques
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6. Advanced Prompting Strategies