Hard AI Knowledge Test – 6 Expert-Level Questions
A rigorous assessment designed for seasoned developers and researchers exploring the frontiers of artificial intelligence.
Quiz Questions
Answer all questions below and test your knowledge.
- 1
Which transformer scaling law predicts performance improvement when model parameters are increased while keeping compute constant?
- 2
In reinforcement learning from human feedback, which component directly converts human preference data into a reward model?
- 3
Which principle specifically requires that AI systems be transparent about the data sources used for training?
- 4
What type of noise schedule is commonly employed in Denoising Diffusion Probabilistic Models to ensure stable training?
- 5
Which emerging hardware architecture is designed to accelerate sparse matrix operations typical in large language model inference?
- 6
When using chain-of-thought prompting, what is the primary benefit observed in large language models?
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