apple-on-device-ai

Deploy on-device AI across Apple platforms using Foundation Models, Core ML, MLX Swift, and llama.cpp. Guide for selecting, deploying, and optimizing on-device ML models. Covers Apple Foundation Models, Core ML, MLX Swift, and llama.cpp. Use this decision tree to pick the right framework for your use case. When to use: Text generation, summarization, entity extraction, structured output, and short dialog on iOS 26+ / macOS 26+ devices with Apple Intelligence enabled. Zero setup -- no API keys, no network, no model downloads. Best for: Not suited for: Complex math, code generation, factual accuracy tasks, or apps targeting pre-iOS 26 devices. When to use: Deploying custom trained models (vision, NLP, audio) across all Apple platforms.