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. 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. TemplatesCurrent
Templates
Sep 25, 2025
A template is a pre-made structure for a prompt that can be reused.
Why Templates Matter
- Consistency - Same style every time
- Efficiency - Faster than writing new prompts from scratch
- Scalability - Can be reused for many variations
- Control - Keeps AI outputs predictable and structured
Example
An AI powered browser extension that changes the text on a website based on the users age.
{
Task:
- Take the following ${text} and rewrite it as if the reader is ${age} years old.
}
This template ensures that the outcome will always be consistent.
Example 2
Template: Write a [tone] email to [recipient] about [situation]. Make sure it includes [details].
Prompt:
tone=funny recipient=rob@gmail.com situation=i found a cat details=it is so soft
Output:
Write a funny email to rob@gmail.com about how I found a cat. Make sure it includes that it is so soft.
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