A position paper proposing AI Flow, a device-edge-cloud inference framework, with a case study showing speculative decoding between a 2B and 26B vision-language model cuts time-per-output-token by about half.
Large language models empowered autonomous edge AI for connected intelligence,
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AI Flow at the Network Edge
A position paper proposing AI Flow, a device-edge-cloud inference framework, with a case study showing speculative decoding between a 2B and 26B vision-language model cuts time-per-output-token by about half.