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Su et al.

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20:31
2026-08-04
pub.towardsai.net
artificial-intelligence

The End of Matrix Multiplications: Welcome to Addition

A new wave of AI hardware and software co-design is replacing heavy floating-point matrix multiplications with addition-only, ternary weight sets {-1, 0, 1}, enabling up to a 32-fold reduction in weig…

19:13
2026-07-22
dev.to
large-language-models

RoPE: How 2D Rotations Solved Transformer Long-Context

Rotary Position Embedding (RoPE), introduced by Su et al. in 2021, solves the Transformer long-context problem by rotating Query and Key vectors in 2D sub-planes, making attention depend only on relat…

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