苹果今天发布了为 Apple Silicon 芯片优化的 MLX 深度学习框架，旨在简化 Mac、iPad、iPhone 平台研究人员设计和部署模型的过程。这个框架号为 MLX，可实现“软硬结合”，让用户能够更轻松地优化模型，从而提高设备的性能。
MLX 深度学习框架简化了模型的设计和部署过程，从而提高了 Mac、iPad 和 iPhone 等苹果设备的性能。这个框架可以与 Apple Silicon 芯片无缝结合，让用户能够更轻松地优化模型，从而获得更好的性能和更快的训练速度。
苹果表示，MLX 深度学习框架将有助于推动人工智能的发展，为研究人员和开发人员提供更加高效和强大的工具。这个框架的推出将使得 Mac、iPad 和 iPhone 等苹果设备更加适合用于高性能计算和机器学习等应用场景。
新闻翻译：
Apple today announced the launch of MLX deep learning framework optimized for Apple Silicon chip, which aims to simplify the process of model design and deployment on Mac, iPad, and iPhone platforms. This framework, known as MLX, enables “soft-hard combination” to enable users to optimize models more easily and improve the performance of Apple devices.
MLX deep learning framework simplifies the design and deployment process of models, making Mac, iPad, and iPhone等 Apple devices more suitable for high-performance computing and machine learning applications. The company said that MLX will help drive the development of artificial intelligence and provide more efficient and powerful tools for researchers and developers. The launch of this framework will make Mac, iPad, and iPhone more suitable for high-performance computing and machine learning applications.
【来源】https://www.ithome.com/0/737/400.htm
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