English(EN) Building ELMDE: Deciding in One Pass

ELMDE系统将LLM决策延迟缩短至毫秒级

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 09:20

一个名为Equilibrium Latent-MoE Decision Engine (ELMDE) 的新系统已被开发出来，以显著加快语言模型中的决策过程。与传统的逐个token解码不同，ELMDE通过循环核心一次性处理上下文，达到一个不动点，然后进行决策投影。这种方法极大地降低了延迟，一个包含50个问题的批次大约需要14毫秒，而其他方法则需要数千毫秒。ELMDE还包含一个共形门控机制，用于识别不确定的决策，将其升级到更慢的模型或人工审查，以保持准确性。 AI

影响这种新架构可能会显著降低基于LLM的决策系统的推理成本和延迟。

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dev.to — LLM tag TIER_1 English(EN) · Kanav Jeet Singh · 2026-10-24 09:20

Building ELMDE: Deciding in One Pass

<p>Choosing one option out of many should not cost a paragraph of generation, yet that is how most agents route today. A language model decodes a structured answer one token at a time, and on the project's own benchmark a 50-question batch takes about 11,500 ms.<br /> ELMDE, the …

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Building ELMDE: Deciding in One Pass

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