Apple Launches Artificial Intelligence Model Framework

Apple’s machine learning research team MLX introduced a machine learning framework called. In this way, developers can create efficient models and deep learning model libraries for Apple Silicon. Both frame and MLX Data based deep learning models are available on GitHub and PyPI.

Apple is also preparing to advance in the field of artificial intelligence

According to Apple’s GitHub page From PyTorch, Jax and ArrayFire Inspired by MLX, it will have shared memory. This means that any task running on MLX will be able to run on all supported hardware without the need to move data. Currently CPUs and GPUs have MLX support. According to reports, MLX is simple enough for developers to use, but has enough power to develop models such as Meta’s Llama and Stable Diffusion generative AIs. Frameworks and model libraries can be used for many AI applications on the market.

Still, MLX Data focuses on deep learning in general. Apple, does not focus on the field of productive artificial intelligence like its major competitors Microsoft and Google. In fact, the company avoids using the word artificial intelligence as much as possible.

Apple has previously working on basic models It was stated. The underlying models contain a lot of unlabeled data. Thus, it is possible to use the same data set for different purposes.