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Offline navigation is a lifeline for travelers, adventurers, and everyday commuters. We demand speed, accuracy, and the flexibility to tailor routes to our specific needs. For years, OsmAnd has championed powerful, feature-rich offline maps that fit in your pocket. But as maps grew more detailed and user demands for complex routing increased, our trusty A* algorithm, despite its flexibility, started hitting a performance wall. How could we deliver a 100x speed boost without bloating map sizes or sacrificing the deep customization our users love?

作为曾在苹果嵌入式AI研发中扮演关键角色的人物,庞若鸣参与领导的基础模型团队,是AppleIntelligence尝试在端侧实现隐私与性能平衡的重要技术力量。这种端侧架构曾被视为苹果在AI博弈中的差异化优势。

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This new approach can be used by other open-source projects.

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