Expert-Level AI Knowledge Assessment
A demanding set of eight multiple‑choice items designed to evaluate deep expertise in modern AI techniques and theory.
Quiz Questions
Answer all questions below and test your knowledge.
- 1
Which component of the transformer architecture enables each token to attend to all other tokens simultaneously?
- 2
Which algorithm directly computes the optimal state‑action values by iteratively applying the Bellman optimality equation?
- 3
Which loss function is commonly used to train language models for next‑token prediction?
- 4
According to empirical scaling laws, doubling model parameters while keeping data size constant primarily affects which performance metric?
- 5
Which principle specifically calls for AI systems to be transparent about their decision‑making processes?
- 6
Which optimizer combines momentum with adaptive learning rates based on first and second moments of gradients?
- 7
If a transformer model has a total dimension of 768 and uses 12 attention heads, what is the dimensionality of each head?
- 8
Which type of accelerator is most commonly employed to accelerate matrix multiplications in large language models?
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