Szilágyi, Róbert and Tóth, Mihály (2023) Use of LLM for SMEs, opportunities and challenges. AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS, 14 (2). pp. 10-18. ISSN 2061-862X
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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.
Item Type: | Article |
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Uncontrolled Keywords: | digitization, AI, LLM, ChatGPT |
Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány Q Science / természettudomány > QA Mathematics / matematika > QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 12 Jun 2024 13:52 |
Last Modified: | 12 Jun 2024 13:52 |
URI: | https://real.mtak.hu/id/eprint/197230 |
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