Basic AI Concepts
- 1. Artificial Intelligence (AI)
- 2. Machine Learning (ML)
- 3. Deep Learning
- 4. Generative AI
- 5. Natural Language Processing (NLP)
- 6. Statistical Learning
- 7. TransformersCurrent
- 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
Transformers
Sep 23, 2025
A type of AI model architecture that defines how an AI system processes information.
How It Works
Before transformers most AI models read data one step at a time. Transformers enable models to look at all the data at once and then decide what is most important.
Transformers use a mechanism called attention. They learn to focus on the important details.
Why They Are Important
Transformers are the foundation for many modern AI models since they understand the big picture. This makes them powerful for tasks involving language and patterns.
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