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About this paper
Krittanon Kaewtawee, Wachiravit Modecrua, Krittin Pachtrachai, Touchapon Kraisingkorn
Amity AI Research and Application Center developed a methodology to clone a conversational voice AI agent directly from call recording datasets for enterprise applications. The approach, applied to telesales, demonstrated the AI agent achieving performance competitive with human agents in routine conversational tasks and substantial improvement in complex areas like objection handling after systematic prompt engineering and targeted fine-tuning.
Key insights
- Systematic prompt engineering, including explicit objective setting, clear communication style, and examples, can effectively shape the behavior of large language models to emulate specific domain experts.
- Targeted fine-tuning on domain-specific Q&A pairs and objection handling examples significantly enhances an AI agent's performance in complex conversational tasks.
- The structured nature of telesales makes it an ideal domain for the initial deployment and evaluation of cloned conversational AI agents, demonstrating measurable outcomes and practical applicability.
Summary by alphaXiv.
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