Apple Releases MLX, a Machine Learning Framework for Apple Silicon

Designed for efficiency and user-friendliness, MLX is expected to power AI models and signals Apple's significant investment in AI and machine learning.

• Apple has released MLX, a machine learning framework designed for Apple silicon, developed by Apple's machine learning research team.
• MLX is designed to be user-friendly and efficient for training and deploying models, with a design that is conceptually simple and easy for researchers to extend and improve.
• MLX features include familiar APIs, composable function transformations, lazy computation, dynamic graph construction, multi-device operation, and a unified memory model.
• MLX is intended to be easy to use for developers but has enough power to train AI models like Meta’s Llama and Stable Diffusion.
• Apple's move towards AI and machine learning is seen as a significant investment, with the company expected to focus more on these technologies in the coming year.

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