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.
Use this if you are a machine learning engineer or researcher developing AI models and applications and want to leverage Apple's MLX framework effectively, especially for tasks like model conversion or RAG.
Not ideal if you are looking for a plug-and-play AI tool or general machine learning tutorials unrelated to the MLX framework.
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Jupyter Notebook
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CC-BY-4.0
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Last pushed
Dec 12, 2025
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