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Apple's MLX framework now supports CUDA, marking a strategic shift to embrace NVIDIA's ecosystem. This enables developers to train models on NVIDIA GPUs and deploy on Apple devices, enhancing efficiency and bridging platform gaps.....

Apple's MLX framework now supports CUDA, allowing developers to create applications on Apple Silicon devices and export them to run in a CUDA environment. This move significantly reduces development costs, as small teams no longer need to purchase expensive Nvidia hardware upfront. The project, led by GitHub developers, has been integrated into the main MLX branch. Although it does not support running directly on Macs with Nvidia GPUs, development and testing can be fully completed on Apple devices. Performance in CUDA environments is significantly better than on Macs, and combining it with Nvidia hardware for AI applications is highly beneficial.

Apple's MLX framework adds CUDA support, enabling seamless AI app migration from Mac to NVIDIA platforms. This breakthrough resolves Metal framework limitations, achieved by @zcbenz through months of integration. Feature ensures code compatibility, lowering development barriers by allowing Apple Silicon prototyping with optional NVIDIA deployment.....

Alibaba Group announced the release of an upgraded version of its flagship AI model Qwen3, which has successfully been adapted to Apple's MLX architecture. This indicates that the launch of Apple Intelligence in the Chinese market may be imminent. According to Alibaba, the new Qwen3 version boasts stronger performance, supporting 119 languages and dialects, further enhancing user experience. In the previous iOS 18.4 update, Apple Intelligence had already started supporting Simplified Chinese, but its generation ...

Recently, the official account of Alibaba's Tongyi Qwen announced the official release and open-sourcing of the full series of 32 Qwen3 MLX quantized models. This move has attracted widespread attention in the AI field. MLX is an open-source machine learning framework specifically designed for deep compatibility with Apple chips, providing efficient capabilities for training and deploying large AI models, and is increasingly favored by many AI developers. Alibaba's actions are seen by insiders as preparation for domestic Apple Intelligence (Apple AI). Previously, multiple authoritative messages had hinted that Alibaba...

Recently, Meta AI open-sourced a foundational multimodal language model named SPIRIT LM, which can freely mix text and speech, opening new possibilities for multimodal tasks involving audio and text. SPIRIT LM is based on a pre-trained text language model with 7 billion parameters, which has been continuously trained on text and speech units, expanding into the speech modality. It can understand and generate text like a large text model, while also being capable of understanding and generating speech, and even mixing text and speech to create various forms of expression.

Amid the rapid development of artificial intelligence, Google's experimental AI product Notebook LM is drawing widespread attention. This application, dubbed the 'next ChatGPT', is redefining how we interact with information with its powerful features and unique user experience. Notebook LM's core advantage lies in its file processing capabilities. Users simply upload text, audio, or video files, and the AI can quickly extract key information and even generate simulated dialogue podcasts. This innovative interaction method not only

Jina AI has introduced two small language models designed specifically for transforming raw HTML content into clean and tidy Markdown format, helping us move away from tedious web data processing. The model, named Reader-LM, stands out for its ability to quickly and efficiently convert web content into Markdown files. The benefit of using it is that you no longer need to rely on complex rules or cumbersome regular expressions. These models cleverly auto-remove clutter from web pages.

Apple has quietly launched two artificial intelligence frameworks and model libraries, signaling a possible increase in its investments in the AI field. The MLX, released by the machine learning research team, is an efficient machine learning framework that runs on Apple Silicon and is accessible via repositories like GitHub and PyPI. MLX Data is a framework-agnostic, efficient, and flexible data loading package that works with the MLX, PyTorch, or Jax frameworks. Apple has previously taken a conservative approach to AI, but this latest move indicates a potential change.

Stability AI has released the portable language model Stable LM 3B, which has 3 billion parameters and is suitable for mobile devices. Stable LM 3B is compact, efficient, and outperforms other language models of similar size. The model can run on edge devices and home computers, with widespread applications in creative writing and other fields. Stable LM 3B shows significant improvements in text generation, achieving higher energy efficiency and reducing energy consumption. The model is released on the Hugging Face platform.