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A new research paper shows that Apple has practical solutions to technical AI issues that other firms appear to be ignoring, specifically how to use massive large language modules on lower-memory devices like iPhone.
Despite claims that Apple is behind the industry on generative AI, the company has twice now revealed that it is continuing to do its longer term planning rather than racing to release a ChatGPT clone. The first sign was a research paper which proposed an AI system called HUGS, which generates digital avatars of humans.
Despite claims that Apple is behind the industry on generative AI, the company has twice now revealed that it is continuing to do its longer term planning rather than racing to release a ChatGPT clone. The first sign was a research paper which proposed an AI system called HUGS, which generates digital avatars of humans.
Now as spotted by VentureBeat, a second research paper, proposes solutions for deploying enormous large language modules (LLMs) on devices with limited RAM, such as iPhones.
The new paper is called “LLM in a flash: Efficient Large Language Model Inference with Limited Memory.” Apple says that it “tackles the challenge of efficiently running LLMs that exceed the available DRAM capacity by storing the model parameters on flash memory but bringing them on demand to DRAM.”
Apple isn’t behind on AI, it’s looking ahead to the future of smartphones
Apple isn’t behind on AI, it’s looking ahead to the future of smartphones
