Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and ...
Abstract: The generation of voluminous scientific data poses significant challenges for efficient storage, transfer, and analysis. Recently, error-bounded lossy compression methods emerged due to ...
description [ICML 2025][机器人][KV缓存压缩] 提出 CommVQ——通过可加向量量化压缩 KV cache，创新性地设计与 RoPE 可交换的码本并用 EM 算法训练，在 2-bit 下几乎无损、1-bit 下仍保持可用精度，使 LLaMA-3.1 ...
Abstract: This paper presents a 12.5-19 GHz 5-bit vector modulated active phase shifter. The phase shifter is comprised of an input matching network, a resistor-capacitor (RC)-resistor-inductor (RL) ...
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