Enhancing Conversational Agent Development Through a Semi-Automatization Development Proposal
Source abstract
Abstract
The development of chatbots is often hindered by high costs and time consumption, with existing technologies and frameworks not fully addressing the diverse requirements for creating robust conversational agents across platforms like WhatsApp. This is a limitation for the implementation of these frameworks in a professional environment, thus representing both opportunities and complexities. This article presents improvements to the Xatkit framework, utilizing Model-Driven Development techniques to simplify chatbot development and extend support for WhatsApp. Additionally, the integration of the GPT-3 autoregressive language model enhances user interaction, offering a more sophisticated and responsive conversational experience.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Multi-Agent Systems and Negotiation · AI in Service Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Tata Consultancy, Zapopan 45080, Mexico
Facultad de Informática Mazatlán, Universidad Autónoma de Sinaloa, Mazatlán 82017, Mexico
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