Implementing Realtime Conversation
A background on the challenges of implementing realtime LLM-based human conversation.
The Challenges of LLM Conversation
Introduction
There are different scopes of voice AI application complexity. Some applications are very turn-based (affording for delays, less interruption sensitive), while others require a rigorous & realtime, conversational agent (that nears being indistinguishable from a human in conversation).
Framing the Problem
Writing a voice AI application from scratch is a difficult problem.
In software development, there are certain problems you can & will want to solve yourself, & another class of problems that are so wide-ranging & complex that it is best to cutoff complexity by using a third-party service.
Replicating the nuances & complexities of human conversation is a deep rabbit-hole, & …
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