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challenges-of-realtime-conversation.mdx

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Implementing Realtime Conversation
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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