Expert AI Coding Quiz – Hard Level
A challenging set of questions designed for seasoned developers working with intelligent systems.
Quiz Questions
Answer all questions below and test your knowledge.
- 1
In the original Transformer architecture, what is the computational complexity of the self‑attention mechanism with respect to the sequence length n?
- 2
Which component of Reinforcement Learning from Human Feedback directly converts human preference data into a reward model?
- 3
When training large language models, which clipping technique preserves the direction of gradients while limiting their norm?
- 4
Which formal verification method is most commonly applied to prove properties of neural network controllers?
- 5
Which optimizer introduces a decoupled weight‑decay term separate from the gradient update?
- 6
According to empirical scaling laws, how does model performance typically change when dataset size is increased by a factor of eight while keeping model size constant?
- 7
What is the primary advantage of 4‑bit integer quantization for inference of transformer models?
- 8
In diffusion probabilistic models, which term in the loss function corresponds to predicting the added noise at each timestep?
- 9
Which technique most reliably mitigates token‑leakage when chaining multiple LLM calls?
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