文 | 牛刀财经NiuDaoCJ，作者丨万文广
19:16, 27 февраля 2026Бывший СССР
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Architectural variations: rank-1/low-rank projections, factorized embeddings, custom positional encodings, alternative norms
Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
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