Use of LLM for SMEs, opportunities and challenges

Authors

  • Róbert Szilágyi Section editorUniversity of Debrecen
  • Mihály Tóth University of Debrecen

DOI:

https://doi.org/10.17700/jai.2023.14.2.703

Keywords:

digitization, AI, LLM, ChatGPT

Abstract

AI (Artificial Intelligence) and large language models such as GPT (Generative Pre-trained Transformer) have brought rapid and profound changes in the field of companies and the economy. These technologies offer new opportunities in automation, data-driven decision making, and customer service that can have a significant impact on companies' competitiveness and economic growth. At the same time, it is important to understand that the general application of GPT and AI alone does not guarantee a company's competitive advantage. There are many factors to consider, and the pros and cons must be weighed carefully. Ethical and legal issues such as data protection and non-discrimination are critical. In addition, adapting to technological development and a changing environment is key to long-term success. In this paper, the importance of corporate application of GPT and MI, advantages and disadvantages, ethical and legal aspects, challenges of regulation and development, as well as the importance of cooperation and training are reviewed. Pursuing reasonable and responsible use can enable companies and the economy to improve competitiveness while protecting society and the rights of individuals. The first part of this paper introduces the Generative Pre-Trained Transformer (GPT) and some key concepts related to ChatGPT. In the second part, the effects, opportunities, and limitations of GPT on businesses follow.

Author Biography

Róbert Szilágyi, Section editorUniversity of Debrecen

Róbert Szilágyi (PhD) works at University of Debrecen, Economic Analysis Methodology and Applied Informatics Institute as an assistant professor. His professional areas are mobile internet applications in agriculture, e-learning, multimedia content developing, and e-government. He graduated at the University of Debrecen as an agrobusiness engineer. He received the PhD degree at the University of Debrecen in 2006. He got Business Management MBA at the University of Debrecen in 2008. He worked in several research projects and has more than 10 year experience of computer application in agriculture. He has been the secretary of the Hungarian Association of Agricultural Informatics (HAAI) since 2007. He is member of John von Neumann Computer Society. He has more than 70 publications.

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Published

2024-01-26

How to Cite

Szilágyi, R., & Tóth, M. (2024). Use of LLM for SMEs, opportunities and challenges. Journal of Agricultural Informatics, 14(2). https://doi.org/10.17700/jai.2023.14.2.703

Issue

Section

Journal of Agricultural Informatics

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