What are the latest resources related to MLX?
Asked on 2025-07-15
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The latest resources related to MLX, as presented at WWDC, include several key components and tools:
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MLX Overview and Features: MLX is an open-source array framework designed for Apple Silicon, supporting languages like Python, Swift, C, and C++. It is optimized for numerical computing and machine learning tasks, leveraging Apple's unified memory architecture for efficient operations across CPU and GPU. You can learn more about MLX in the session Get started with MLX for Apple silicon.
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MLX and Large Language Models: MLX is particularly suited for running large language models on Apple Silicon. It supports inference and fine-tuning of massive models directly on Mac devices. The session Explore large language models on Apple silicon with MLX provides insights into using MLX for these tasks.
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MLX Community and Resources: The MLX community on platforms like GitHub and Hugging Face offers a wealth of resources, including example repositories and pre-trained models. These resources are designed to help developers and researchers get started with MLX and explore its capabilities.
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Documentation and Examples: Comprehensive documentation and example projects are available to help users dive deeper into MLX's features, such as distributed inference, training, and custom training loops. These resources are accessible through the MLX website and GitHub repositories.
For more detailed exploration, you can refer to the sessions mentioned above, which provide a thorough introduction and practical examples of using MLX on Apple platforms.
Discover machine learning & AI frameworks on Apple platforms
Tour the latest updates to machine learning and AI frameworks available on Apple platforms. Whether you are an app developer ready to tap into Apple Intelligence, an ML engineer optimizing models for on-device deployment, or an AI enthusiast exploring the frontier of what is possible, we’ll offer guidance to help select the right tools for your needs.
Explore large language models on Apple silicon with MLX
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.
Get started with MLX for Apple silicon
MLX is a flexible and efficient array framework for numerical computing and machine learning on Apple silicon. We’ll explore fundamental features including unified memory, lazy computation, and function transformations. We’ll also look at more advanced techniques for building and accelerating machine learning models across Apple’s platforms using Swift and Python APIs.