Technology & Programming

Expert-Level AI Knowledge Assessment

A demanding set of eight multiple‑choice items designed to evaluate deep expertise in modern AI techniques and theory.

#deep learning#machine learning#artificial intelligence#reinforcement learning#model optimization#transformers#neural networks#AI ethics

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Total Questions

Difficulty Level

hard

Progress

0/0

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?
Question 1
2
Which algorithm directly computes the optimal state‑action values by iteratively applying the Bellman optimality equation?
Question 2
3
Which loss function is commonly used to train language models for next‑token prediction?
Question 3
4
According to empirical scaling laws, doubling model parameters while keeping data size constant primarily affects which performance metric?
Question 4
5
Which principle specifically calls for AI systems to be transparent about their decision‑making processes?
Question 5
6
Which optimizer combines momentum with adaptive learning rates based on first and second moments of gradients?
Question 6
7
If a transformer model has a total dimension of 768 and uses 12 attention heads, what is the dimensionality of each head?
Question 7
8
Which type of accelerator is most commonly employed to accelerate matrix multiplications in large language models?
Question 8

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Expert-Level AI Knowledge Assessment

Quiz Intelligence

Quiz Questions

Which component of the transformer architecture enables each token to attend to all other tokens simultaneously?

Which algorithm directly computes the optimal state‑action values by iteratively applying the Bellman optimality equation?

Which loss function is commonly used to train language models for next‑token prediction?

According to empirical scaling laws, doubling model parameters while keeping data size constant primarily affects which performance metric?

Which principle specifically calls for AI systems to be transparent about their decision‑making processes?

Which optimizer combines momentum with adaptive learning rates based on first and second moments of gradients?

If a transformer model has a total dimension of 768 and uses 12 attention heads, what is the dimensionality of each head?

Which type of accelerator is most commonly employed to accelerate matrix multiplications in large language models?

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