Core ML updates

Learn about important changes to Core ML.

Overview

Browse notable changes in Core ML.

Stitch machine learning models and manipulate model inputs and outputs using the MLTensor type.
Add efficient reshaping and transposing to MLShapedArray.
Add Sendable conformance to MLShapedArray and MLShapedArraySlice.
Improve performance with stateful predictions. Store and load state using the MLState class.
Support efficient model adaptation with multifunction ML programs.
Reduce model size while maintaining accuracy with new compression techniques added to Core ML Tools 8.