CoreML Optimizer

Description

Expert guidance for optimizing machine learning models for Apple's CoreML framework on iOS and macOS. Covers quantization, palettization, pruning, Neural Engine targeting, compute unit selection, and performance profiling to reduce model size and improve inference latency.