Generative Artificial Intelligence – Foundations, Use Cases and Economic Potential

Author:

Brühl Volker1

Affiliation:

1. Center for Financial Studies , Frankfurt am Main , Germany .

Publisher

Walter de Gruyter GmbH

Reference13 articles.

1. Bloomberg Intelligence (2023, 1 June), Generative AI to Become a $1.3 Trillion Market by 2032, Bloomberg announcement.

2. Brown, T., B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever and D. Amodei (2020), Language models are few-shot learners, Advances in neural information processing systems, 33, 1877-1901.

3. Brühl, V. (2023), Big Tech, the Platform Economy and the European Digital Markets, Intereconomics, 58(5), 274-282, https://www.intereconomics.eu/contents/year/2023/number/5/article/big-tech-the-platform-economy-and-the-european-digital-markets.html (2 January 2024).

4. Cao, Y., S. Li, Y. Liu, Z. Yan, Y. Dai, P. S. Yu and L. Sun (2023), A Comprehensive Survey of AI-Generated Content (AIGC), A History of Generative AI from Gan to ChatGPT, arXiv, Cornell University.

5. European Commission (2021), Regulation of the European Parliament and of the council laying down harmonised rules on Artificial Intelligence and amending certain union legislative acts, COM(2021) 206 final.

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