arXiv (OAI Expanded)
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The Language-Energy Divide: Measuring Energy Costs of Multilingual LLM Inference
Large language models (LLMs) are increasingly deployed in multilingual settings, yet the energy costs of serving these models across different languages remain poorly understood. We present a systematic study of inference energy consumption across languages with ML.Energy framework (Chung et al., 20
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