attention Interview Questions
The most frequently asked attention questions across all roles and companies, ranked by real interview frequency. Updated daily.
Implement scaled multi-head attention with stable softmax and causal masking for autoregressive decoding.
Scale
MetaImplement batched scaled dot-product multi-head attention with correct head reshaping and optional causal masking.
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Explain how attention lets transformer models weigh relationships between tokens across a sequence.
S&P Global
Playstation Network
InfosysExplain QKV self-attention, tensor dimensions, and why attention scales quadratically with sequence length.
DeepgramExplain scaled dot-product self-attention, its quadratic sequence cost, and practical methods for reducing long-context computation.
JPMorganChaseTests understanding of transformer attention internals and scaling behavior.
ScaleTests active listening, attention management, and the ability to recover the core question from a lengthy discussion.
Rune TechnologiesExplain how FlashAttention reduces self-attention memory traffic through tiling, kernel fusion, and on-chip recomputation.
Together Ai