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In the era of billion-parameter-sized Language Models (LMs), start-ups have to follow trends and adapt their technology accordingly. Nonetheless, there are open challenges since the development and deployment of large models comes with a need for hig
Externí odkaz:
http://arxiv.org/abs/2210.13086
Publikováno v:
Maroudas, S, Legkas, S, Malakasiotis, P & Chalkidis, I 2022, Legal-Tech Open Diaries : Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models . in NLLP 2022-Natural Legal Language Processing Workshop 2022, Proceedings of the Workshop . Association for Computational Linguistics (ACL), pp. 88-110, 4th Natural Legal Language Processing Workshop, NLLP 2022, co-located with the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, 08/12/2022 . < https://aclanthology.org/2022.nllp-1.8 >
In the era of billion-parameter-sized Language Models (LMs), start-ups have to follow trends and adapt their technology accordingly. Nonetheless, there are open challenges since the development and deployment of large models comes with a need for hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2751::c133b9e9158e4ccb0f9c6bbdc28ff3a8
https://curis.ku.dk/ws/files/358726425/Legal_Tech_Open_Diaries.pdf
https://curis.ku.dk/ws/files/358726425/Legal_Tech_Open_Diaries.pdf