A Comparative Analysis of ChatGPT and DeepSeek: Capabilities, Applications, and Future Directions ChatGPT &DeepSeek

The rapid advancement of artificial intelligence (AI) has led to the development of sophisticated language models that are transforming various industries. Among these, OpenAI's ChatGPT and DeepSeek's AI models have garnered significant attention due to their capabilities in natural language processing (NLP), machine learning (ML), and their applications across diverse domains. This paper presents a comprehensive comparison between ChatGPT and DeepSeek, focusing on their architectural differences, performance metrics, applications, and potential future directions. The study is based on a literature review of relevant documents, including technical papers, user guides, and industry reports. The findings suggest that while both models excel in NLP tasks, they differ in their underlying architectures, training methodologies, and specific use cases. The paper concludes with recommendations for future research and development in this field.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-21
DOI
https://doi.org/10.5281/zenodo.14899162
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

A Comparative Analysis of ChatGPT and DeepSeek: Capabilities, Applications, and Future Directions ChatGPT &DeepSeek

2 citations
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
1.31
article

A Comparative Analysis of ChatGPT and DeepSeek: Capabilities, Applications, and Future Directions ChatGPT &DeepSeek

article en
2 citations

Abstract

The rapid advancement of artificial intelligence (AI) has led to the development of sophisticated language models that are transforming various industries. Among these, OpenAI's ChatGPT and DeepSeek's AI models have garnered significant attention due to their capabilities in natural language processing (NLP), machine learning (ML), and their applications across diverse domains. This paper presents a comprehensive comparison between ChatGPT and DeepSeek, focusing on their architectural differences, performance metrics, applications, and potential future directions. The study is based on a literature review of relevant documents, including technical papers, user guides, and industry reports. The findings suggest that while both models excel in NLP tasks, they differ in their underlying architectures, training methodologies, and specific use cases. The paper concludes with recommendations for future research and development in this field.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
1.31
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