Apple’s Machine Learning team has released a framework specifically designed for Machine Learning tasks on Apple Silicon called MLX (Machine Learning Explore). This framework can be downloaded via GitHub.
MLX is described by Apple as a developer framework that maximizes the performance of ML models on devices using Apple Silicon chips. It comes with several standout features. For instance, it includes a Python API that functions similarly to NumPy and a C++ API that works similarly to the Python API. Additionally, MLX offers packages with APIs that are comparable to PyTorch for building complex models. The framework aims to be user-friendly and efficient for both training and running ML models, making it ideal for researchers looking to accelerate their ML model development.
TLDR: Apple has unveiled MLX, a specialized framework for Machine Learning on Apple Silicon chips. MLX boasts impressive features such as Python and C++ APIs, as well as packages comparable to PyTorch, making it a user-friendly and powerful tool for faster ML model development. (Source: ComputerWorld)
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