Apple launched MLX, a machine learning framework optimized specifically for Apple silicon. It leverages unified memory to bypass the data transfer bottlenecks common in PyTorch or TensorFlow. This allows developers to train and deploy models more efficiently on Mac hardware. It is a targeted tool for the local AI community.