AI Research
Routing Without Training: Controllable-Ratio LLM Offloading via Reliability Gating
Local-cloud collaboration is a practical way to deploy large language models under resource constraints, but existing methods often rely on trained routers or collaboration-aware finetuning that tie routing behavior to a particular operating regime. In this work, we show that suc...
AC
ArXiv CS.AI
Source
2 min
ArXiv CS.AI
AI Analysis
Generated insight by OnAirToday AI
This research introduces CARGO, a novel training-free framework for LLM offloading that leverages intrinsic response agreement. This innovation eliminates the need for complex trained routers, making LLM deployment more flexible and efficient in hybrid local-cloud environments.
Powered by AI • Not a substitute for human analysisMore Insights →
Share
Filed under:AI Research
Comments
Keep comments relevant and respectful. No links, advertising, self-promotion, or spam.