Basic AI Concepts
- 1. Artificial Intelligence (AI)
- 2. Machine Learning (ML)Current
- 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
Machine Learning (ML)
Sep 23, 2025
A subset of Artificial intelligence
- AI is about making computers smart
- ML is a method of training the AI
How It Works
- Data - showing the AI lots of examples until it can figure out patterns of its own.
- Algorithm - the method the computer uses to find patterns
- Model - the result of training
Types Of Machine Learning
- Supervised learning - Learn patterns by studying labelled data
- Unsupervised learning - Find patterns in unlabelled data
- Reinforcement learning - Interact with the environment through trial and error, then receiving feedback in the form of rewards or penalties. The AI system can then develop a strategy to choose the best actions.
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