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DeepSeek AI: Efficiency, Architecture, and Global Implications
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I11-1717720
Abstract
This paper presents a comprehensive study of DeepSeek AI, a Chinese artificial intelligence startup that has gained global recognition for its cost-efficient large language model (LLM) training and deployment. Founded in 2023, DeepSeek has released models such as DeepSeek-V2, V3, R1, and DeepSeek-Coder, which demonstrate competitive performance at a fraction of the training cost of Western models. The paper explores DeepSeek’s architecture, innovations, applications, and risks, while also discussing broader geopolitical, ethical, and economic implications. It concludes with a reflection on future research directions and the need for transparent, responsible AI development.
Keywords
DeepSeek AI, Large Language Models, Artificial Intelligence, Efficiency, Open Source, Geopolitics
References
[1] Information Suppression in Large Language Models: Auditing DeepSeek. arXiv preprint, 2025.
How to cite this paper
@article{1717720,
author = {Tejas Shinde, Sanket Salve, Abrashmeena Shaikh},
title = {DeepSeek AI: Efficiency, Architecture, and Global Implications},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {2175-2176},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717720.pdf},
abstract = {This paper presents a comprehensive study of DeepSeek AI, a Chinese artificial intelligence startup that has gained global recognition for its cost-efficient large language model (LLM) training and deployment. Founded in 2023, DeepSeek has released models such as DeepSeek-V2, V3, R1, and DeepSeek-Coder, which demonstrate competitive performance at a fraction of the training cost of Western models. The paper explores DeepSeek’s architecture, innovations, applications, and risks, while also discussing broader geopolitical, ethical, and economic implications. It concludes with a reflection on future research directions and the need for transparent, responsible AI development.},
keywords = {DeepSeek AI, Large Language Models, Artificial Intelligence, Efficiency, Open Source, Geopolitics},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717720}
}