WWDC25: Explore large language models on Apple silicon with MLX | Apple

Описание: Discover MLX LM – designed specifically to make working with large language models simple and efficient on Apple silicon. We’ll cover how to fine-tune and run inference on state-of-the-art large language models on your Mac, and how to seamlessly integrate them into Swift-based applications and projects.

Explore related documentation, sample code, and more:
MLX Swift: https://github.com/ml-explore/mlx-swift
MLX LM - Python API: https://github.com/ml-explore/mlx-lm
MLX Explore - Python API: https://github.com/ml-explore/mlx
MLX Framework: https://mlx-framework.org
MLX Llama Inference: https://ml-explore.github.io/mlx/buil...
MLX: https://ml-explore.github.io/mlx/
MLX Swift Examples: https://github.com/ml-explore/mlx-swi...
MLX Examples: https://github.com/ml-explore/mlx-exa...
Get started with MLX for Apple silicon: https://developer.apple.com/videos/pl...

00:00 - Introduction
03:07 - MLX LM Introduction
03:51 - Text generation
08:42 - Quantization
11:39 - Fine-tuning
17:02 - LLMs in MLXSwift

More Apple Developer resources:
Video sessions: https://apple.co/VideoSessions
Documentation: https://apple.co/DeveloperDocs
Forums: https://apple.co/DeveloperForums
App: https://apple.co/DeveloperApp