LLM-guided optimization with enhanced prompts reaches energy-efficient inference settings in fewer iterations (avg 3.4) than baselines (avg 5.2) and beats Sobol sampling on convergence speed.
How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference
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LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference
LLM-guided optimization with enhanced prompts reaches energy-efficient inference settings in fewer iterations (avg 3.4) than baselines (avg 5.2) and beats Sobol sampling on convergence speed.