Comparison of Leading AI Models an Analytical Study of ChatGPT Google Bard and Microsoft Bing

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Dettagli Bibliografici
Pubblicato in:	ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal vol. 14 (2025), p. e31857-e31887
Autore principale:	Adomako, Pascal
Altri autori:	Talha Ali Khan, Raja Hashim Ali, Rand Koutaly
Pubblicazione:	Ediciones Universidad de Salamanca
Soggetti:	Real time Natural language processing Conversational artificial intelligence Chatbots Task complexity Environmental impact assessment
Accesso online:	Citation/Abstract Full Text - PDF
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Descrizione
Abstract:	This comparative analysis delves into the capabilities of three prominent Conversational AI models: ChatGPT, Google Bard, and Microsoft Bing Chat. The study encompasses a meticulous exploration of their conversational skills, natural language processing abilities, and creative text generation. Methodologically, this study crafts a comprehensive evaluation framework, including complexity levels and tasks for each dimension. Through user-generated responses, key metrics of fluency, coherence, relevance, accuracy, completeness, informativeness, creativity, and relevance were assessed. The results reveal distinctive strengths of the AI models. The theoretical implications lead to recommendations for dynamic learning, ethical considerations, and cross-cultural adaptability. Practically, avenues for future research were proposed, including real-time user feedback integration, multimodal capabilities exploration, and collaborative human-AI interaction studies. The analysis sets the stage for benchmarking and environmental impact assessments, underlining the need for standardized metrics.
ISSN:	2255-2863
DOI:	10.14201/adcaij.31857
Fonte:	Advanced Technologies & Aerospace Database