Apple, which many had considered very conservative in its approach to AI, quietly released frameworks and model libraries designed to run on its chips and maybe bring generative AI apps to MacBooks.
The company’s machine learning research team released MLX, a machine learning framework where developers can build models that run efficiently on Apple Silicon and deep learning model library MLX Data. Both are accessible through open-source repositories like GitHub and PyPI.
According to Apple on GitHub, frameworks like PyTorch, Jax, and ArrayFire inspired the design of MLX, with the notable difference of having a shared memory, meaning any task run on MLX works on supported devices (right now, CPUs and GPUs) without moving data. C…
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