ConvFill
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- ConvFill pairs a 0.6B talker with a large reasoner for faster voice agents
ConvFill is a voice-agent architecture developed by students from the University of Washington UbiComp Lab and presented at EMNLP. A 0.6B talker model uses interim “cheat notes” from a large reasoner model to respond quickly while the reasoner continues processing, then reads its completed response to sustain the conversation. The r/LocalLLaMA report’s author helped build a public demo but said the talker model would need to become smarter for the approach to work as intended.
r/LocalLLaMA · 🔥 0
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