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English(EN) Intent Engine: Natural-Language Intent Translation for Intent-Driven Orchestration in the Compute Continuum

Intent Engine 将自然语言翻译为 SLO，减少错误

作者 PulseAugur 编辑部 · [1 个来源] ·

一种名为 Intent Engine 的新架构已被开发出来，用于将自然语言意图翻译为计算连续体服务放置的已验证服务级别目标 (SLO)。该系统旨在克服传统指标级别约束相关的采用障碍和错误配置风险。通过结合模式约束提取、检索增强值构建和验证，Intent Engine 可显著减少错误和下游放置失败。 AI

影响 该架构可以通过允许用户用自然语言表达需求来简化云编排，从而减少错误并提高采用率。

排序理由 该条目是一篇学术论文，详细介绍了意图翻译的新架构。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Intent Engine 将自然语言翻译为 SLO，减少错误

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该条目是一篇学术论文，详细介绍了意图翻译的新架构。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Koushikur Islam, Rodrigo N. Calheiros ·

    意图引擎：面向计算连续体中意图驱动编排的自然语言意图翻译

    arXiv:2608.20388v1 Announce Type: new Abstract: Microservice placement in the compute continuum is driven by low-level Service-level Objectives (SLOs), but requiring users to specify metric-level constraints creates an adoption barrier and increases misconfiguration risk. Althoug…

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