Memory‑native model shrinks token history size ~66
MemT‑1.0 shatters the long‑standing belief that extending context length inevitably inflates memory consumption, delivering a two‑order‑of‑magnitude compression (~66×) with only negligible accuracy loss. The paper’s Mixture‑of‑Storage architecture packs token histories into compact slots, turning w…
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- 2026-10-29 06:00 · DEV Community — Machine Learning
Memory‑native model shrinks token history size ~66