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为分布式AI训练构建可靠的云原生基础
Atlassian将RDMA网络、Lustre存储、GPU调度与验证整合为统一平台以支持分布式AI训练。此前RDMA静默回退TCP导致多节点性能减半且难察...
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NVIDIA把老师傅的判断变成了训练数据
NVIDIA与Palantir合作,将供应链规划师的决策依据、理由与结果写入Ontology,并微调约300亿参数的Nemotron小模型辅助GPU分配。...
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tsgolint Reaches Stable v7, Bringing Go-Powered Type-Aware Linting to Oxlint
tsgolint has released a stable v7, enhancing TypeScript linting with native G...
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智能体AI微调:实用指南
智能体AI微调需同时优化四个关键环节:训练数据、参数高效微调、运行时超参数和偏好对齐。以客服工单分流智能体为例,工具调用数据集须严格校验格式,采用QLoR...
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高效资源编排的5种Python技术
本文介绍Python并发资源编排的五种技术:用TaskGroup实现结构化并发,任务失败时自动取消;用Semaphore按后端真实容量限制并发;用Asyn...
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Terraform AWS Provider Continues Rapid Expansion as AWS Infrastructure Becomes More Complex
The Terraform AWS Provider continues its rapid evolution, with v6.62.0 adding...