Technology & Programming

Expert-Level AI Theory Quiz

A concise set of five tough questions designed to assess your expertise in modern AI techniques.

#deep learning#machine learning#reinforcement learning#neural networks#AI ethics#model compression

Total Questions

Difficulty Level

hard

Progress

0/0

Quiz Questions

Answer all questions below and test your knowledge.

1
According to the scaling law for transformer language models, how does the required dataset size grow as model parameter count increases by a factor of eight?
Question 1
2
What is the asymptotic time complexity of standard self‑attention in a transformer with sequence length n?
Question 2
3
Which algorithm combines policy gradients with value function updates and is known for its clipped surrogate objective?
Question 3
4
Which technique reduces a neural network's size by approximating weight matrices with low‑rank factorization?
Question 4
5
In the context of differential privacy, what does the parameter ε (epsilon) quantify?
Question 5

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