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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
Advanced Prompting Strategies
Chain-of-Thought Prompting
Step-by-Step Reasoning Encouragement
Zero-Shot CoT Implementation
Few-Shot CoT with Examples
Reasoning Path Visualization
Intermediate Step Validation
Self-Consistency Approaches
Multiple Path Generation
Output Sampling Strategies
Majority Voting Implementation
Result Aggregation Methods
Confidence Assessment
Tree of Thoughts Framework
Systematic Path Exploration
Branching Strategy Design
Pruning Technique Implementation
Self-Evaluation Methods
Backtracking Mechanisms
Decision Tree Construction
Generated Knowledge Prompting
Fact Generation Strategies
Knowledge Integration Techniques
Multi-Stage Prompting
Information Validation Methods
Context Enrichment Approaches
ReAct Framework
Reasoning and Action Interleaving
Reasoning Step Design
Action Step Implementation
Tool Integration Methods
External API Interaction
Agent Behavior Modeling
Retrieval Augmented Generation
External Knowledge Integration
Retrieval Step Optimization
Generation Step Enhancement
Knowledge Base Selection
Relevance Filtering
Information Synthesis
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5. Crafting High-Quality Prompts
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7. Prompt Engineering Workflow