Attention Mechanism

Teaching models to focus on what matters

§ Technical Analysis

Attention (Bahdanau et al. 2015) solved the encoder bottleneck in neural machine translation — instead of compressing an entire source sentence into one vector, the decoder dynamically queries all encoder states.

Self-attention: every position attends to every other position in the same sequence, creating rich contextual representations that capture long-range dependencies.

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