Apple wydało MLX, czyli „framework do uczenia maszynowego dla procesorów Apple Silicon”. MLX został zaprojektowany przez badaczy uczenia maszynowego dla badaczy uczenia maszynowego. Ma być przyjazny ...

Apple’s machine learning research team has quietly introduced and released a new machine learning framework called MLX, designed to optimize the development of machine learning models on Apple Silicon ...

The MLX framework was released on GitHub amid the generative AI storm. While mostly staying out of the generative AI competition, Apple has released an open source array framework on GitHub for ...

Don’t ask me what any of this means, but it might be of interest for some of you real Mac users. Apple has released MLX, “an array framework for machine learning on Apple silicon, brought to you by ...

Over the past few years, there have been significant advancements in Machine Learning (ML), with numerous frameworks and libraries developed to simplify our tasks. Among these innovations, Apple ...

Apple's notebooks, desktops, and workstations are well-suited for running local AI systems. The key to this is the MLX software. “With MLX, users can efficiently explore and run LLMs on the Mac. It ...

Swama is a high-performance machine learning runtime written in pure Swift, designed specifically for macOS and built on Apple's MLX framework. It provides a powerful and easy-to-use solution for ...