Expert-Level AI Theory Quiz
A concise set of five tough questions designed to assess your expertise in modern AI techniques.
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?
- 2
What is the asymptotic time complexity of standard self‑attention in a transformer with sequence length n?
- 3
Which algorithm combines policy gradients with value function updates and is known for its clipped surrogate objective?
- 4
Which technique reduces a neural network's size by approximating weight matrices with low‑rank factorization?
- 5
In the context of differential privacy, what does the parameter ε (epsilon) quantify?
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