网络相关优化
Asked on 03/10/2025
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It seems you are interested in network-related optimizations. While the provided context does not directly address network optimizations, it does cover several sessions related to machine learning and privacy, which might involve network considerations indirectly.
For instance, the session titled "What’s new in privacy" discusses local network access control in macOS Sequoia, which could be relevant if you're interested in network privacy and security optimizations. You can find more about this in the chapter on macOS Extensions transparency and control.
If you are interested in machine learning optimizations, sessions like "Support real-time ML inference on the CPU" and "Accelerate machine learning with Metal" discuss various optimizations that could indirectly affect network performance by improving computational efficiency and reducing data transfer needs.
If you have a more specific question or need further details, feel free to ask!

Bring your machine learning and AI models to Apple silicon
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Support real-time ML inference on the CPU
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