Variability modeling from software engineering enables systematic sampling, measurement, and prediction of LLM inference configurations for energy, latency, and accuracy trade-offs.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
2 Pith papers cite this work. Polarity classification is still indexing.
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The paper applies speculative fabulation via a future interview to introduce the concept of 'fair trade energy' for federated renewable systems in permacomputing research.
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Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters
Variability modeling from software engineering enables systematic sampling, measurement, and prediction of LLM inference configurations for energy, latency, and accuracy trade-offs.
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Federated Fair Trade Energy: Speculative Fabulation for a Planet with Limits
The paper applies speculative fabulation via a future interview to introduce the concept of 'fair trade energy' for federated renewable systems in permacomputing research.