Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the fundamentals of Apple MLX, a machine learning framework optimized for Apple Silicon, in this 48-minute tutorial video. Learn how to leverage MLX's capabilities, which combine features similar to NumPy and PyTorch, to perform GPU operations such as dot product, matrix multiplication, and array shaping. Gain insights into key concepts of transformers, large language models, and generative AI as Chris Hay guides you through tokenization, embeddings, and inference processes. While tailored for Apple Silicon devices, the tutorial offers valuable knowledge applicable to PyTorch and NumPy, making it beneficial for all AI enthusiasts regardless of their hardware.