Generative AI Agents, Build a Multilingual ChatGPT-based Customer Service Chatbot

This paper showcases the development and deployment of a generative AI-based chatbot, using cutting-edge natural language processing techniques to deliver an interactive and informative user experience. Accessible through web browsers on various operating systems, the chatbot aims to maximize accessibility. The chatbot demonstrates the capabilities of the ChatGPT model from OpenAI, seamlessly integrating with APIs and adhering to GDPR regulations to ensure reliability and privacy compliance. Comprehensive evaluations were conducted to optimize the chatbot's performance and development efforts. The results validate the effectiveness of the approach, with user acceptance testing providing valuable feedback for further improvements. The results show that the proposed conversational model which was trained and worked based on ChatGPT has a superior performance to traditional conversational models, and could work optimally by applying any language without any additional training.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/fllm63129.2024.10852436
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
1.04
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article

Generative AI Agents, Build a Multilingual ChatGPT-based Customer Service Chatbot

Nigel Chou, Rand Koualty, Suleiman Alabdallah
3 citations
AI in Service Interactions
1.04
article

Generative AI Agents, Build a Multilingual ChatGPT-based Customer Service Chatbot

Nigel Chou, Rand Koualty, Suleiman Alabdallah
article en
3 citations

Abstract

This paper showcases the development and deployment of a generative AI-based chatbot, using cutting-edge natural language processing techniques to deliver an interactive and informative user experience. Accessible through web browsers on various operating systems, the chatbot aims to maximize accessibility. The chatbot demonstrates the capabilities of the ChatGPT model from OpenAI, seamlessly integrating with APIs and adhering to GDPR regulations to ensure reliability and privacy compliance. Comprehensive evaluations were conducted to optimize the chatbot's performance and development efforts. The results validate the effectiveness of the approach, with user acceptance testing providing valuable feedback for further improvements. The results show that the proposed conversational model which was trained and worked based on ChatGPT has a superior performance to traditional conversational models, and could work optimally by applying any language without any additional training.

Prince Mohammad bin Fahd University (SA)
Openalex Percentile: Top 18%
AI in Service Interactions
1.04
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Generative AI Agents, Build a Multilingual ChatGPT-based Customer Service Chatbot — Nigel Chou, Rand Koualty, et al. · (2024) | TGRS Research Map | TGRS