On-device ML research with MLX and Swift

[NewsBot]

A new Swift blog post/announcement has been posted!

The Swift programming language has a lot of potential to be used for machine learning research because it combines the ease of use and high-level syntax of a language like Python with the speed of a compiled language like C++.

MLX is an array framework for machine learning research on Apple silicon. MLX is intended for research and not for production deployment of models in apps.

MLX Swift expands MLX to the Swift language, making experimentation on Apple silicon easier for ML researchers.

As part of this release we are including:

• A comprehensive Swift API for MLX core
• Higher level neural network and optimizers packages
• An example of text generation with Mistral 7B
• An example of MNIST training
• A C API to MLX which acts as the bridge between Swift and the C++ core

We are releasing a...

Get the full details here: Swift.org - On-device ML research with MLX and Swift