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Wyświetlanie 1-6 z 6
Tytuł:
What will ChatGPT revolutionize in the financial industry?
Autorzy:
Ali, Hassnian
Aysan, Ahmet Faruk
Powiązania:
https://bibliotekanauki.pl/articles/23942837.pdf
Data publikacji:
2023-11-17
Wydawca:
Fundacja Naukowa Instytut Współczesnych Finansów
Tematy:
ChatGPT
Finance
Open AI
Marketing
Opis:
The launch of the open AI chatbot, ChatGPT, in November 2022 has generated widespread excitement around Generative Artificial Intelligence (AI). While researchers have explored ChatGPT's ability to produce content and respond to input, our study takes a different approach and examines its use cases in the financial industry. We aim to understand what ChatGPT offers the financial industry and how it differs from existing banking and financial chatbots. Financial institutions can use ChatGPT for a variety of purposes, including customer engagement, personalization, up-selling and cross-selling, stock forecasting, product development, and financial education. By focusing on the potential of ChatGPT in finance, we hope to spark discussions about its applications in other domains and explore the possibilities of a larger revolution in the future. Finally, this study identifies the challenges associated with the use of Generative Open AI and LLMs-based chatbots in the financial industry and provides recommendations for addressing these challenges.
Źródło:
Modern Finance; 2023, 1, 1; 116-129
2956-7742
Pojawia się w:
Modern Finance
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is medicine ready for ChatGPT – why not just ask ChatGPT?
Autorzy:
Rodigin, Anthony
Powiązania:
https://bibliotekanauki.pl/articles/2203249.pdf
Data publikacji:
2023-06-07
Wydawca:
Gdański Uniwersytet Medyczny
Tematy:
ChatGPT
artificial intelligence
AI
medicine
medical education
Opis:
Vol. 6
Źródło:
European Journal of Translational and Clinical Medicine; 2023, 6, 1; 5-8
2657-3148
2657-3156
Pojawia się w:
European Journal of Translational and Clinical Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ChatGPT: Cross cultural tourism research imperative
Autorzy:
Chen, Sirong
Zhang, Ke
Li, Xiaonan
Ye, Huiyue
Lin, Katsy Jiaxin
Law, Rob
Powiązania:
https://bibliotekanauki.pl/articles/2199826.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
ChatGPT
large language models
tourism
cross-cultural analysis
Opis:
Aim/purpose – Cultural differences play an influential role in driving tourism development and varying outcomes of technology acceptance. The impact of ChatGPT on tourism is yet to be explored. Therefore, this study discussed how ChatGPT may influence tourism development and management in different cultural contexts. Design/methodology/approach – Drawing specifically on individualism and collectivism from Hofstede’s cultural dimensions theory, this study compared the differences in the perception of ChatGPT between Oriental and Western cultures. Findings – Individualism and collectivism explain the diversity of perception on ChatGPT between Oriental and Western cultures. Research implications/limitations – Implications and suggestions are provided to academia and industry accordingly. Particularly, the difference between technological concepts and tools is highlighted to avoid having excessive expectations toward tools. Originality/value/contribution – This study extends the research on tourism and Artificial Intelligence and advocates additional attention to the imperative of cross-cultural differences regarding ChatGPT and tourism.
Źródło:
Journal of Economics and Management; 2023, 45; 137-146
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ChatGPT in hospital infection prevention and control – assessing knowledge of an AI model based on a validated questionnaire
Autorzy:
Jawanpuria, Ankita
Behera, Aruna Rani
Dash, Chinmaya
Hifz Ur Rahman, Mohammad
Powiązania:
https://bibliotekanauki.pl/articles/40570861.pdf
Data publikacji:
2024-06-30
Wydawca:
Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego
Tematy:
artificial intelligence
ChatGPT
infection control
large language model
medical education
Opis:
Introduction and aim. An AI model like ChatGPT is a good source of knowledge. We can explore the potential of AI models to complement the expertise of healthcare professionals by providing real-time, evidence-based information in infection prevention and control (IPC). Material and methods. This study involved 110 queries related to IPC, validated by subject experts in IPC. The responses from ChatGPT were evaluated using Bloom’s taxonomy by experienced microbiologists. The scores were divided as <3 as being a poor response, 3–4 as an average response, and >4 as a good response. Statistical analysis was done by correlation coefficient and Cohen’s Kappa. Results. The overall score was 4.33 (95% CI, q1 3.65–q3 4.64) indicating ChatGPT’s substantial IPC knowledge. A good response (i.e.>4 score) was found in 70 (63.6%) questions, while in 10 (9%) questions, it showed a poor response. The poor response was seen in needle stick injury and personal protective equipment (PPE) doffing-related questions. The overall correlations were found to be significant. Cohen’s Kappa confirmed moderate to substantial agreement between evaluators. Conclusion. ChatGPT demonstrated a commendable understanding of IPC principles in various domains and the study identifies specific instances where the model may require further refinement especially in critical scenarios such as needlestick injuries and PPE doffing.
Źródło:
European Journal of Clinical and Experimental Medicine; 2024, 22, 2; 347-352
2544-2406
2544-1361
Pojawia się w:
European Journal of Clinical and Experimental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generative artificial intelligence as a new context for management theories: analysis of ChatGPT
Autorzy:
Korzynski, Pawel
Mazurek, Grzegorz
Altmann, Andreas
Eldys, Joanna
Kazlauskaite, Ruta
Paliszkiewicz, Joanna
Wach, Krzysztof
Ziemba, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/40570877.pdf
Data publikacji:
2023-03-15
Wydawca:
Akademia Leona Koźmińskiego w Warszawie
Tematy:
Generative AI
ChatGPT
Management theories
Decision-making
Knowledge management
Customer service
Human resource management
Business administration
Opis:
Purpose – The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts. Design/methodology/approach – The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption. Findings – The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels. Research limitations/implications – This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies. Originality/value – The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.
Źródło:
Central European Management Journal; 2023, 31, 1; 3-13
2658-0845
2658-2430
Pojawia się w:
Central European Management Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ChatGPT: Unlocking the future of NLP in finance
Autorzy:
Zaremba, Adam
Demir, Ender
Powiązania:
https://bibliotekanauki.pl/articles/23943459.pdf
Data publikacji:
2023
Wydawca:
Fundacja Naukowa Instytut Współczesnych Finansów
Tematy:
Natural Language Processing (NLP)
ChatGPT
GPT (Generative Pre-training Transformer)
finance
financial applications
ethical considerations
regulatory considerations
future research directions
Opis:
This paper reviews the current state of ChatGPT technology in finance and its potential to improve existing NLP-based financial applications. We discuss the ethical and regulatory considerations, as well as potential future research directions in the field. The literature suggests that ChatGPT has the potential to improve NLP-based financial applications, but also raises ethical and regulatory concerns that need to be addressed. The paper highlights the need for research in robustness, interpretability, and ethical considerations to ensure responsible use of ChatGPT technology in finance.
Źródło:
Modern Finance; 2023, 1, 1; 93-98
2956-7742
Pojawia się w:
Modern Finance
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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