mlx-notes and mlx-intro
About mlx-notes
uogbuji/mlx-notes
Shared personal notes created while working with the Apple MLX machine learning framework
This collection of notes and guides helps AI/ML practitioners understand and work with Apple's MLX machine learning framework. It provides practical examples and insights on tasks like converting AI models from other formats (e.g., Hugging Face) to MLX and implementing Retrieval Augmented Generation (RAG). The content includes markdown articles and Jupyter notebooks, making it valuable for machine learning engineers and researchers building or deploying AI applications on Apple hardware.
About mlx-intro
DePasqualeOrg/mlx-intro
Introduction to MLX for Swift developers
This project provides an introduction to MLX for Swift developers, enabling them to integrate and run machine learning models directly within their Apple ecosystem applications. It helps bridge the gap between rapidly evolving open-source machine learning models and native macOS, iOS, or visionOS apps. Developers can use this to bring advanced AI features like text generation or image generation into their Swift applications, offering enhanced performance on Apple silicon.
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