CORDIS Project
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The AToM-FM project focuses on improving the efficiency of Foundation Models in AI by adapting their memory and tokenization processes. This innovation aims to reduce energy consumption and enhance data privacy while expanding the capabilities of AI systems.
The recent revolution in generative AI is powered by the ever-growing scale of Foundation Models (FMs).
This, however, causes a series of harmful ramifications, such as their unsustainable energy demand and environmental pollution, which accelerate climate change.
Moreover, the scale of FMs jeopardises data privacy, as it compels users to deploy them on third-party servers rather than edge devices. AToM-FM sets out to reverse this trend by remedying a fundamental source of inefficiency in FMs: t…
THE UNIVERSITY OF EDINBURGH
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