Apple has released MLX, a free and open-source machine learning framework for Apple Silicon. Computerworld reports: The idea is that it streamlines training and deployment of ML models for researchers who use Apple hardware. MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple’s processors. This isn’t a consumer-facing tool; it equips developers with what appears to be a powerful environment within which to build ML models. The company also seems to have worked to embrace the languages developers want to use, rather than force a language on them — and it apparently invented powerful LLM tools in the process.

MLX design is inspired by existing frameworks such as PyTorch, Jax, and ArrayFire. However, MLX adds support for a unified memory model, which means arrays live in shared memory and operations can be performed on any of the supported device types without performing data copies.

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