Transformer Architecture Interview Guide: Attention, Scale, and Serving Implications
Transformer interviews for AI engineers emphasize attention complexity, KV cache behavior, positional encoding trade-offs, and how architectural choices affect inference cost—not hand-waving about self-attention.
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