info: T. B. Brown et al., “Language Models are Few-Shot Learners,” 2020, doi: 10.48550/ARXIV.2005.14165.

A. Radford, K. Narasimhan, T. Salimans, I. Sutskever, and others, “Improving language understanding by generative pre-training,” 2018.

A. Radford et al., “Language models are unsupervised multitask learners,” OpenAI blog, vol. 1, no. 8, p. 9, 2019.

info: T. Benson, A. Akella, and D. A. Maltz, “Mining policies from enterprise network configuration,” in Proceedings of the 9th ACM SIGCOMM conference on Internet measurement, Chicago Illinois USA: ACM, Nov. 2009, pp. 136–142. doi: 10.1145/1644893.1644909.

info: A. Vaswani et al., “Attention Is All You Need,” 2017, doi: 10.48550/ARXIV.1706.03762.

info: A. Hamza, D. Ranathunga, H. H. Gharakheili, T. A. Benson, M. Roughan, and V. Sivaraman, “Verifying and Monitoring IoTs Network Behavior Using MUD Profiles,” IEEE Trans. Dependable and Secure Comput., vol. 19, no. 1, pp. 1–18, Jan. 2022, doi: 10.1109/TDSC.2020.2997898.

info: S. Liu, T. A. Benson, and M. K. Reiter, “Efficient and Safe Network Updates with Suffix Causal Consistency,” in Proceedings of the Fourteenth EuroSys Conference 2019, Dresden Germany: ACM, Mar. 2019, pp. 1–15. doi: 10.1145/3302424.3303965.