Expert Level Artificial Intelligence Knowledge Test

A rigorous assessment covering recent AI breakthroughs and algorithmic details for seasoned programmers.

deep learningmachine learningreinforcement learningAItransformersneural networks
Difficulty:HARD

Quiz Details

Questions6
CategoryTechnology & Programming
DifficultyHARD
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Quiz Questions

Answer all questions below and test your knowledge.

  1. 1

    Which component of the transformer architecture reduces the quadratic cost of self-attention by approximating the attention matrix?

    Question 1
  2. 2

    Identify the algorithm that merges Q-learning updates with a stochastic policy derived from the softmax of Q-values.

    Question 2
  3. 3

    In diffusion generative models, which schedule defines the variance of noise added at each timestep to guarantee a closed-form posterior?

    Question 3
  4. 4

    What is the term for systematically probing hidden layers to locate neurons that encode prohibited concepts?

    Question 4
  5. 5

    Which quantization approach uses a small calibration set to adjust scale factors per layer, achieving near-full-precision performance?

    Question 5
  6. 6

    Name the processor design that integrates analog crossbar arrays with digital control to accelerate matrix multiplications for neural nets.

    Question 6

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