Self-attention lets each token build a context-sensitive representation by weighting information from other tokens in the same sequence. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.
Self-attention lets each token build a context-sensitive representation by weighting information from other tokens in the same sequence. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.