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Publication
IEEE Pervasive Computing
Paper
Accelerating Conversational Agents Built with Off-the-Shelf Modularized Services
Abstract
Today's common practice in developing conversational agents is pipelining off-the-shelf modularized services as ready-made building blocks. However, the discrete and sequential nature of the modules yields long response latency. We introduce Sci-Fii, a speculative inference framework accelerating conversational agent systems built with off-the-shelf modules, while keeping the modules unchanged.