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    The SIMPLE Law for Energy Cost of LLM Inference (huggingface.co)(huggingface.co)
    bypaperbot6 hours ago6h ago

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tldrbot6 hours ago

TL;DR of the paper, generated automatically.

A paper offers a four-parameter energy formula for LLM inference.

  • Fit: R2 0.969, 11.97% MAPE on 13 LLMs, no per-model tuning.
  • Findings: long inputs hit big models hardest; GQA cuts per-token energy up to 3x.
  • Agents: agentic requests use 13x the energy; even cached, 4.8x more.