Next Article in Journal
Differential Private Federated Learning in Geographically Distributed Public Administration Processes
Previous Article in Journal
Adapting Self-Regulated Learning in an Age of Generative Artificial Intelligence Chatbots
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Systematic Review

A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok

by
Ketmanto Wangsa
1,
Shakir Karim
2,
Ergun Gide
2 and
Mahmoud Elkhodr
2,*
1
Independent Researcher, Sydney 2000, Australia
2
School of Engineering and Technology, Central Queensland University, Rockhampton 4701, Australia
*
Author to whom correspondence should be addressed.
Future Internet 2024, 16(7), 219; https://doi.org/10.3390/fi16070219
Submission received: 23 May 2024 / Revised: 13 June 2024 / Accepted: 20 June 2024 / Published: 22 June 2024

Abstract

AI chatbots have emerged as powerful tools for providing text-based solutions to a wide range of everyday challenges. Selecting the appropriate chatbot is crucial for optimising outcomes. This paper presents a comprehensive comparative analysis of five leading chatbots: ChatGPT, Bard, Llama, Ernie, and Grok. The analysis is based on a systematic review of 28 scholarly articles. The review indicates that ChatGPT, developed by OpenAI, excels in educational, medical, humanities, and writing applications but struggles with real-time data accuracy and lacks open-source flexibility. Bard, powered by Google, leverages real-time internet data for problem solving and shows potential in competitive quiz environments, albeit with performance variability and inconsistencies in responses. Llama, an open-source model from Meta, demonstrates significant promise in medical contexts, natural language processing, and personalised educational tools, yet it requires substantial computational resources. Ernie, developed by Baidu, specialises in Chinese language tasks, thus providing localised advantages that may not extend globally due to restrictive policies. Grok, developed by Xai and still in its early stages, shows promise in providing engaging, real-time interactions, humour, and mathematical reasoning capabilities, but its full potential remains to be evaluated through further development and empirical testing. The findings underscore the context-dependent utility of each model and the absence of a singularly superior chatbot. Future research should expand to include a wider range of fields, explore practical applications, and address concerns related to data privacy, ethics, security, and the responsible deployment of these technologies.
Keywords: AI chatbots; ChatGPT; Bard; Llama; Ernie; Grok; systematic review; comparative analysis; natural language processing; real-time data; computational resources; educational applications; medical applications; language specialisation AI chatbots; ChatGPT; Bard; Llama; Ernie; Grok; systematic review; comparative analysis; natural language processing; real-time data; computational resources; educational applications; medical applications; language specialisation

Share and Cite

MDPI and ACS Style

Wangsa, K.; Karim, S.; Gide, E.; Elkhodr, M. A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok. Future Internet 2024, 16, 219. https://doi.org/10.3390/fi16070219

AMA Style

Wangsa K, Karim S, Gide E, Elkhodr M. A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok. Future Internet. 2024; 16(7):219. https://doi.org/10.3390/fi16070219

Chicago/Turabian Style

Wangsa, Ketmanto, Shakir Karim, Ergun Gide, and Mahmoud Elkhodr. 2024. "A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok" Future Internet 16, no. 7: 219. https://doi.org/10.3390/fi16070219

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop