UsefulLinks
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
  1. Computer Science
  2. 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
10.
Performance Evaluation and Optimization
10.1.
Success Metrics Definition
10.1.1.
Accuracy and Correctness Measures
10.1.2.
Relevance Assessment Criteria
10.1.3.
Coherence Evaluation Methods
10.1.4.
Fluency and Readability Metrics
10.1.5.
Task-Specific Performance Indicators
10.2.
Evaluation Methodologies
10.2.1.
Human Evaluation Protocols
10.2.2.
Expert Review Processes
10.2.3.
Model-Based Assessment Techniques
10.2.4.
Automated Evaluation Systems
10.2.5.
Benchmark Dataset Utilization
10.2.6.
Comparative Analysis Methods
10.3.
Performance Optimization Strategies
10.3.1.
Prompt Refinement Techniques
10.3.2.
Parameter Tuning Methods
10.3.3.
Output Quality Enhancement
10.3.4.
Efficiency Improvement Approaches
10.3.5.
Cost Optimization Strategies

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11. Advanced and Emerging Topics

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