Prompt design significantly impacts energy use in on-device LLM inference
Read the original at arxiv.org→arXiv:2607.22568v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed on mobile and embedded devices to improve privacy and reduce network latency. Yet on-device inference faces a...
Original headline: "Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting"
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- Jul 28, 04:00 UTC arXiv cs.AI lead source Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting