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 ...

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 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 ...

Apple's MLX combines familiar APIs, composable function transformations, and lazy computation to create a machine learning framework inspired by NumPy and PyTorch that is optimized for Apple Silicon.

Apple MLX lets you run local AI models directly on your Mac. You can avoid API costs and leverage unified memory for faster ...

As Google and OpenAI’s chatbots touch the brink of human intelligence, you might be asking, “Where the hell is Apple?” Reading time 2 minutes Google’s launch of Gemini yesterday was like a bellowing ...

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 ...

Apple is silently releasing its Deep Learning framework as an open-source code, according to X user Delip Rao. The new MLX framework runs natively on Apple Silicon with a single pip install. According ...

Apple’s machine learning research team quietly releases a framework called MLX to build foundation models. Apple’s machine learning research team quietly releases a framework called MLX to build ...