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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
Task-Specific Applications
Information Extraction Tasks
Named Entity Recognition
Relationship Extraction
Attribute Extraction
Event Extraction
Structured Data Generation
Text Summarization Applications
Abstractive Summarization Techniques
Extractive Summarization Methods
Length Control Strategies
Style Adaptation Approaches
Multi-Document Summarization
Domain-Specific Summarization
Question Answering Systems
Open-Domain QA Approaches
Closed-Domain QA Techniques
Factual Question Handling
Opinion-Based Question Processing
Unanswerable Query Management
Multi-Hop Reasoning Questions
Text Classification Tasks
Sentiment Analysis Implementation
Topic Classification Methods
Intent Recognition Techniques
Emotion Detection Approaches
Spam Detection Applications
Content Moderation Tasks
Code Generation and Programming
Programming Language Specification
Library and Framework Integration
Logic Description Techniques
Functionality Requirement Definition
Code Explanation Generation
Debugging Assistance Methods
Code Review and Optimization
Creative Content Generation
Story and Narrative Writing
Poetry and Creative Writing
Marketing Copy Creation
Email Composition Techniques
Social Media Content Generation
Technical Writing Assistance
Reasoning and Problem Solving
Mathematical Problem Solving
Logical Puzzle Resolution
Analytical Reasoning Tasks
Causal Reasoning Applications
Comparative Analysis Methods
Decision Making Support
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7. Prompt Engineering Workflow
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9. Security and Safety Considerations