multi-head self-attention

Technique

First seen 6/12/2026

Last seen 6/12/2026

Evidence 2 chunks

NEIGHBORHOOD

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2 connections

The transformer language model implements multi-head self-attention to capture instruction dependencies.

DeepVerifier ← uses 100% 2e

DeepVerifier uses multi-head self-attention within its transformer blocks to capture instruction dependencies.