The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models
This work establishes context-scaling laws that differentiate engine-level optimisations from inherent model constraints, providing an empirical framework for sustainable LLM deployment.
Boris Ruf, Marcin Detyniecki
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