Basic AI Concepts
- 1. Artificial Intelligence (AI)Current
- 2. Machine Learning (ML)
- 3. Deep Learning
- 4. Generative AI
- 5. Natural Language Processing (NLP)
- 6. Statistical Learning
- 7. Transformers
- 8. Fine Tuning
- 9. Model Validation
- 10. Reinforcement Learning (RL)
- 11. Supervised Learning
- 12. Unsupervised Learning
- 13. System Prompts
- 14. System Roles
- 15. User Prompts
- 16. Zero-shot prompting
- 17. Multi Shot Prompting
- 18. Templates
Artificial Intelligence (AI)
Sep 23, 2025
AI is defined as machines that are built to perform tasks that traditionally have required human intelligence.
Types Of AI
- Machine learning (ML) - AI learns patterns from past data
- Deep learning - advance ML that uses layers of artificial neurons (neural networks)
- Natural language processing (NLP) - Helps AI to understand and respond to human language
- Generative AI - AI that can generate new content.
- Large language models (LLMs)
- Small language models (SLMs)
- General Pre-trained Transformers (GPTs) - Specialist architecture that powers modern AI models
- Generative adversarial networks - AI that competes with itself to produce realistic output
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