Post by account_disabled on Feb 26, 2024 17:55:40 GMT -10
Apple, which many had considered very conservative in its approach to AI, quietly released frameworks and model libraries designed to run on its chips and perhaps bring generative AI applications to MacBooks. The company's machine learning research team launched MLX, a machine learning framework where developers can create models that run efficiently on Apple Silicon and the MLX Data deep learning model library. Both can be accessed through open source repositories such as GitHub and PyPI. According to Apple on GitHub, frameworks like PyTorch, Jax, and ArrayFire inspired the design of MLX, with the notable difference of having shared memory, meaning that any task run in MLX works on compatible devices (at this time, CPU and GPU.
Without moving. data. Computer World reported that Philippines WhatsApp Number List MLX is intended to be easy to use for developers, but has enough power to train AI models like Meta's Llama and Stable Diffusion. Frameworks and model libraries help power many of the AI applications on the market today. Awni Hannun, a machine learning researcher at Apple, tweeted that MLX Data is a “framework-independent, efficient and flexible package for loading data” and works with the MLX, PyTorch or Jax frameworks. The Verge contacted Apple for more information. Apple has previously worked with AI, incorporating the technology into its products for years.
However, these focused on machine learning and not the popular generative AI applications that competitors such as Microsoft and Google have been pursuing. Apple even avoids using the word AI in many of its keynote presentations. In a chance meeting between Elon Musk and Demis Hassabis, co-founder of the artificial intelligence company DeepMind, the potential risks of artificial intelligence (AI) in future Mars colonies were brought to the fore.