AI 101 – Nano AI Course

🧠 AI 101 quiz

⚡ AI 101 Certificate Quiz ⚡

1. What is intelligence in AI context?
2. AI mainly works by detecting what?
3. What does backpropagation do?
4. What is the purpose of activation functions?
5. In NanoAI, memory stores what?
6. What does NanoAI similarity use?
7. What is PCA used for?
8. What is distribution shift?
9. What is similarity in AI based on?
10. What is the main difference between SLM and LLM?
11. What are tokens in AI?
12. What is overfitting?
13. What is a neural network?
14. What is gradient descent?
15. What is a loss function?
16. Why is scaling data important?
17. What is feature engineering?
18. What is clustering in AI?
19. What is a vector in AI?
20. What is cosine similarity?
21. What is RAG in AI systems?
22. What is fine-tuning?

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