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of components of the software systems running on distributed systems, e.g., data centers, grid architectures, sensor networks and other distributed cyber-physical infrastructures. Based on measured energy
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]. Such models typically consist of Large Language Models with a Transformer architecture, as well as backbones for efficient audio generation that can rely on AutoEncoders [7], Diffusion Models [1
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allows to transferer state-of-the-art technological developments in AI architectures to actors and researchers in the environmental science. 1.4. Interdisciplinarity aspects This project explores
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networking protocols and AI. Understanding of networking protocols and architectures Strong background in ML and NLP, with hands-on experience in LLMs (e.g., GPT, BERT, LLaMA). Proficiency in deep learning