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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent

Dhakshenya Ardhithy Dhinagaran1, Laura Martinengo1, Moon-Ho Ringo Ho2

  • 1Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.

JMIR Mhealth and Uhealth
|October 4, 2022
PubMed
Summary

This study introduces the DISCOVER framework, a guide for creating rule-based conversational agents (CAs) on smartphones for healthcare. The framework aids in designing, developing, and implementing these health-focused CAs effectively.

Keywords:
chatbotconceptual frameworkconversational agentdigital healthmHealthmobile healthmobile phone

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