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English(EN) A Security-Oriented Lifecycle Model for Large Language Model Systems

新的LLM生命周期模型优先考虑安全性而非效率

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新论文提出了一个面向安全的LLM系统生命周期模型，解决了现有框架中优先考虑运行效率而非安全性的不足。该模型围绕安全相关边界构建开发和运营，涵盖数据、模型、分发和应用层面的32个阶段，并由LLMOps和治理支柱支持。对当前监管环境的分析，包括NIST AI RMF和欧盟AI法案，显示治理证据集中在部署阶段，而关键决策在早期做出且监管可见度较低。 AI

影响 提出了一种结构化的LLM安全方法，可能影响未来AI系统的开发和监管合规性。

排序理由 该集群包含一篇详细介绍LLM新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新的LLM生命周期模型优先考虑安全性而非效率

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该集群包含一篇详细介绍LLM新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eleftherios Batzolis, George Drosatos, Vassilis Katsouros, Konstantinos Rantos ·

    面向大型语言模型系统的一种面向安全的生命周期模型

    arXiv:2608.03626v1 Announce Type: cross Abstract: Large language models are being integrated into critical infrastructure and enterprise workflows at unprecedented scale,yet the lifecycle frameworks governing their development and operations were designed for operational efficien…

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