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Huang et al.

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13:31
2026-08-14
pub.towardsai.net
artificial-intelligence

Why Post-Training Compression Is a Losing LLM Battle

Post-training quantization (PTQ) of large language models fails under extreme low-bit constraints because dynamic activation outliers scale beyond 1⁰⁵, causing representation collapse, according to a …

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…

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