MLX is a flexible and efficient array framework for numerical computing and machine learning on Apple silicon. We’ll explore fundamental features including unified memory, lazy computation, and function transformations. We’ll also look at more advanced techniques for building and accelerating machine learning models across Apple’s platforms using Swift and Python APIs. Explore related documentation, sample code, and more: MLX Swift: MLX LM - Python API: MLX Explore - Python API: MLX Framework: MLX Llama Inference: MLX: MLX Swift Examples: MLX Examples: Explore large language models on Apple silicon with MLX: 00:00 - Introduction 01:15 - MLX overview 04:21 - Key features 10:15 - Accelerating MLX 17:30 - MLX Swift More Apple Developer resources: Video sessions: Documentation: Forums: App: