Apple's research team, including David Grangier and others, explores cost-effective AI development, focusing on specialized language models. Their paper highlights strategies like Importance Sampling and Hyper-networks, aiming to make AI technology accessible to a wider audience. By addressing the challenges of pre-training, specialization, inference, and training set sizes, Apple is leading the way in democratizing AI and paving the path for innovation within constrained budgets.
The paper: [ Ссылка ]
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