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.
Towards greener llms: Bringing energy-efficiency to the forefront 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.