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Understanding the capabilities, limitations, and societal impact of large language models

, , , and . arXiv:2102.02503 cs, (February 2021)arXiv: 2102.02503.

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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)Implicit encoding of prior probabilities in optimal neural populations., and . NIPS, page 658-666. Curran Associates, Inc., (2010)Druid A Real-time Analytical Data Store, , , , , and . Spektrum der Wissenschaft,   (6): 64-71 (2013)mit Lit.-Hinweis.Collective Constitutional AI: Aligning a Language Model with Public Input., , , , , , and . CoRR, (2024)Druid: a real-time analytical data store., , , , , and . SIGMOD Conference, page 157-168. ACM, (2014)In-context Learning and Induction Heads., , , , , , , , , and 16 other author(s). CoRR, (2022)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). ACL (Findings), page 13387-13434. Association for Computational Linguistics, (2023)Understanding the capabilities, limitations, and societal impact of large language models, , , and . arXiv:2102.02503 cs, (February 2021)arXiv: 2102.02503.Report of the 1st Workshop on Generative AI and Law., , , , , , , , , and 25 other author(s). CoRR, (2023)Predictability and Surprise in Large Generative Models., , , , , , , , , and 20 other author(s). FAccT, page 1747-1764. ACM, (2022)