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Nare Labs
We are a research laboratory dedicated to building the infrastructure for autonomous engineering.
A decoupled context-compression co-processor utilizing gated cross-attention for linear-time, O(1)-memory sequence scaling in frozen large language models. (159 символов)
Static-Q Transformer: replace self-attention's content-based query projection with a learnable per-position table. Empirical study of where this works and where it breaks across model sizes.