What is causal masking in transformer models?

Updated May 17, 2026

Short answer

Causal masking prevents a token from attending to future tokens.

Deep explanation

It enforces autoregressive behavior by masking upper triangular attention scores, ensuring prediction depends only on past tokens.

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