Apple has enhanced its machine learning offerings with the re-release of MLX integrated with Swift, allowing for local execution of Large Language Models (LLMs). Following this, the company introduced MLXServer, a new project aimed at simplifying the creation of APIs for these models. MLXServer, developed by Mustafa (@maxaljadery) and Siddharth, provides an easy setup for running open-source models optimized for Apple's Metal. It includes features like text generation, chat functionalities, and converting models, accessible via HTTP endpoints. The tool, described as a Python endpoint, is accessible via a simple pip install command, indicating Apple's commitment to making machine learning more accessible to developers. This move positions Apple as a strong competitor against TensorFlow and PyTorch in the machine learning space.