Rand兰德:2024年评估人工智能对国家安全和公共安全的影响报告(英文版)2 ables, thresholds for dangerous AI capabilities, and voluntary risk management policies for scaling AI capabilities. The workshop proceedings synthesize insights from these sessions, outline the methodology seeks to continuously measure dangerous model capabili- ties, allowing for the development of scaling laws and appropriate mitigations. Unlocking AI Capabilities Regarding unlocking model capabilities dialogues, and considering the insights and innovations of the private sector. Responsible Capability Scaling Gradient of Risks and Benefits This dialogue examined the feasibility and implica- tions of establishing0 积分 | 12 页 | 211.27 KB | 4 月前3
数字政府智慧政务大数据云平台项目建设方案的负载均衡资源无法相互通信; – 负载均衡绑定的外网 IP 网络隔离取决于用户物理网络 的配置,如不同的 Vlan 等。 4.3.10 弹性伸缩 4.3.10.1 概述 弹性伸缩(Auto Scaling)是指在业务需求增长时自动增加计 算资源(虚拟机)以保证计算能力,在业务需求下降时自动减 少计算资源以节省成本;同时可结合负载均衡及健康检查机制, 满足请求量波动和业务量稳定的场景。 用10 积分 | 636 页 | 7.13 MB | 7 月前3
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