This article discusses how Apple’s A.I. models are trained using their AXLearn framework, which allows for efficient and scalable training on various hardware and cloud platforms. The models are trained on a combination of licensed data and publicly available data collected by their web-crawler, AppleBot. The article also touches on the ethical concerns surrounding the use of publicly available data for A.I. training.
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