References
- Bloomberg Intelligence (2023, 1 June), Generative AI to Become a $1.3 Trillion Market by 2032, Bloomberg announcement.
- 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.
- 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).
- 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.
- 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.
- Goodfellow, I., Y. Bengio and A. Courville (2016), Deep Learning, MIT Press.
- KIRA Center for AI Risks & Impacts (2023, 28 November), The EU AI Act needs Foundation Model Regulation, https://www.foundation-models.eu/ (18 January 2024).
- Mitchell, T. M. (1997), Machine Learning, McGraw-Hill.
- Murphy, K. P. (2022), Probabilistic Machine Learning: An Introduction, MIT Press.
- Noy, S. and W. Zhang (2023), Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence, Working paper.
- Russell, S. J. and P. Norvig (2022), Artificial Intelligence – A Modern Approach, 4th edition, Pearson.
- UC Berkeley (2022), What is Machine Learning?, https://ischoolonline.berkeley.edu/blog/what-is-machine-learning/ (14 July 2023).
- Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser and I. Polosukhin (2017), Attention Is All You Need, Advances in Neural Information Processing Systems, 30.