Variability modeling from software engineering enables systematic sampling, measurement, and prediction of LLM inference configurations for energy, latency, and accuracy trade-offs.
Green my llm: Studying the key factors affecting the energy consumption of code assistants
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A baseline survey of 77 users and a 5-day field study with 11 participants found that sustainability UI interventions increased selection of energy-efficient chatbot modes to 55.8% of prompts.
A systematic review finds research on the sustainability of LLM-generated code to be limited, fragmented, and without accepted frameworks for measurement or benchmarking.
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Sustainable Code Generation Using Large Language Models: A Systematic Literature Review
A systematic review finds research on the sustainability of LLM-generated code to be limited, fragmented, and without accepted frameworks for measurement or benchmarking.