Run Custom Models On Device With Core AI

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This article discusses Apple's Core AI framework announced at WWDC26, which allows developers to run custom, optimized AI models on device using the .aimodel format. It fills a gap between Foundation Models and Core ML, enabling app teams to use smaller, task-specific models for features like image segmentation and language processing. The article covers model decomposition, loading from app assets, and the role of Swift packages for runtime libraries. It emphasizes testing, budgeting, and on-device data privacy, with examples from language-learning, recipe, fitness, and notes apps.

Run Custom Models On Device With Core AI

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