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 ...
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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Amir Langer discusses the evolution of ...
In an X-note, Awni Hannun, of Apple’s ML team, calls the software: “…an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!)” The idea is that it ...
In a surprising turn of events, another Big Tech company released its first take on everything AI, with Apple's MLX now available as open source, centering on its new framework and model. There were ...
One of the best tools to run AI models locally on a Mac just got even better. Here’s why, and how to run it. If you’re not familiar with Ollama, this is a Mac, Linux, and Windows app that lets users ...
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