Apple's recent launch of its open-source machine learning framework, MLX, has been overshadowed by Google's Gemini, signaling Apple's late entry into the AI space. While Apple has been caught off guard by the rise of AI, CEO Tim Cook has internally developed a chatbot service called "AppleGPT" and Apple's Head of AI, John Giannandrea, aims to power Siri with generative AI. However, Apple's investment in AI may be too little, too late, as competitors like Google and Microsoft profit from closed-source AI models.
Apple has released MLX, a machine learning framework, and MLX Data, a deep learning model library, designed to run efficiently on Apple Silicon chips. These open-source tools allow developers to build models for generative AI applications on MacBooks. MLX is inspired by frameworks like PyTorch and Jax but offers the advantage of shared memory, enabling tasks to be performed on supported devices without data movement. While Apple has previously focused on machine learning, this move marks its entry into the realm of generative AI, where competitors like Microsoft and Google have already made significant strides.
Apple has released MLX, a new machine learning framework specifically designed for Apple silicon Macs. MLX is user-friendly, efficient for training and deploying models, and offers familiar APIs, composable function transformations, lazy computation, dynamic graph construction, multi-device support, and a unified memory model. The framework aims to simplify machine learning research on Apple silicon devices.
