apple mlx is a machine learning framework optimized for apple silicon. it's like numpy and pytorch in one. in apple mlx tutorial video chris walks you through how to get started with apple mlx, and how to understand key concepts in transformers, large language models and generative ai. this includes using mlx to perform gpu operations including dot product, matrix multiplication, shaping arrays. in addition he looks at how mlx works with tokenization, embeddings and inference. even if you don't have an apple silicon device, you can use the same concepts with pytorch and numpy