UsefulLinks
Computer Science
Artificial Intelligence
Generative AI
1. Introduction to Generative AI
2. Mathematical and Technical Foundations
3. Machine Learning Fundamentals
4. Core Generative Model Architectures
5. Transformer Architecture and Language Models
6. Text Generation Applications
7. Image and Visual Generation
8. Audio and Speech Generation
9. Development Lifecycle and Best Practices
10. Practical Implementation Tools
11. Ethical Considerations and Responsible AI
12. Legal and Regulatory Landscape
13. Economic and Social Impact
14. Future Directions and Emerging Trends
13.
Economic and Social Impact
13.1.
Labor Market Effects
13.1.1.
Job Displacement Risks
13.1.1.1.
Creative Industries
13.1.1.2.
Knowledge Work
13.1.1.3.
Customer Service
13.1.2.
Job Creation Opportunities
13.1.2.1.
AI Specialists
13.1.2.2.
Human-AI Collaboration
13.1.2.3.
New Service Categories
13.1.3.
Skill Requirements
13.1.3.1.
Technical Skills
13.1.3.2.
Soft Skills
13.1.3.3.
Lifelong Learning
13.2.
Economic Implications
13.2.1.
Productivity Gains
13.2.1.1.
Automation Benefits
13.2.1.2.
Cost Reductions
13.2.1.3.
Innovation Acceleration
13.2.2.
Market Disruption
13.2.2.1.
Industry Transformation
13.2.2.2.
Competitive Advantages
13.2.2.3.
Economic Inequality
13.3.
Environmental Considerations
13.3.1.
Energy Consumption
13.3.1.1.
Training Costs
13.3.1.2.
Inference Costs
13.3.1.3.
Data Center Impact
13.3.2.
Sustainability Practices
13.3.2.1.
Green AI Initiatives
13.3.2.2.
Carbon Footprint Reduction
13.3.2.3.
Efficient Model Design
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12. Legal and Regulatory Landscape
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14. Future Directions and Emerging Trends