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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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There are several more quality–of-life software updates, too, like the ability to sift through all those screenshots after they’ve been automatically categorized into sections like barcodes, events and more. If you can’t get enough AI image generation, you can now use Photo Assist to edit your photos using descriptive prompts. Elsewhere, Circle-to-Search now supports multiple, well, circles, if you’re looking to tag and search for multiple objects at once.