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在 AI 场景中,Apache Spark 凭借其强大的批处理能力与 Python 生态兼容性,广泛用于大模型训练前的数据清洗、特征工程与推理任务。而 Ray 因其低延迟、高并发特性,被 OpenAI 等头部机构用于分布式训练与强化学习。两者共同构成 Data + AI 的核心计算底座,支持从数据准备到模型推理的全流程高效执行。
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The web project is intended to contain the code for actually running the service in Azure. Controller actions that act as the entry point for individual HTTP requests. Service startup code preparing the IoC container. Various middlewares providing additional telemetry and debugging information. And so forth.,更多细节参见safew官方下载
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