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.
Bibliographical notePublisher Copyright:
© 2002-2012 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computational Theory and Mathematics