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What is cross-attention, and how does it differ from self-attention?

Cross-attention is how a model attends from one sequence into another, the mechanism behind encoder-decoder models and multimodal conditioning. The signal is knowing exactly where the queries vs keys/values come from.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Cross-attention is how a model attends from one sequence into another, the mechanism behind encoder-decoder models and multimodal conditioning. The signal is knowing exactly where the queries vs keys/values come from.

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