EleutherAI (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "EleutherAI" in English language version.

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  • Gao, Leo; Biderman, Stella; Black, Sid; et al. (31 December 2020). The Pile: An 800GB Dataset of Diverse Text for Language Modeling. arXiv 2101.00027. arXiv:2101.00027.
  • Black, Sid; Biderman, Stella; Hallahan, Eric; et al. (14 April 2022). "GPT-NeoX-20B| An Open-Source Autoregressive Language Model". arXiv:2204.06745 [cs.CL].
  • Sanh, Victor; et al. (2021). "Multitask Prompted Training Enables Zero-Shot Task Generalization". arXiv:2110.08207 [cs.LG].
  • Muennighoff, Niklas; Wang, Thomas; Sutawika, Lintang; Roberts, Adam; Biderman, Stella; Teven Le Scao; M Saiful Bari; Shen, Sheng; Yong, Zheng-Xin; Schoelkopf, Hailey; Tang, Xiangru; Radev, Dragomir; Alham Fikri Aji; Almubarak, Khalid; Albanie, Samuel; Alyafeai, Zaid; Webson, Albert; Raff, Edward; Raffel, Colin (2022). "Crosslingual Generalization through Multitask Finetuning". arXiv:2211.01786 [cs.CL].
  • Workshop, BigScience; et al. (2022). "BLOOM: A 176B-Parameter Open-Access Multilingual Language Model". arXiv:2211.05100 [cs.CL].
  • Zhang, Susan; Roller, Stephen; Goyal, Naman; Artetxe, Mikel; Chen, Moya; Chen, Shuohui; Dewan, Christopher; Diab, Mona; Li, Xian; Lin, Xi Victoria; Mihaylov, Todor; Ott, Myle; Shleifer, Sam; Shuster, Kurt; Simig, Daniel; Koura, Punit Singh; Sridhar, Anjali; Wang, Tianlu; Zettlemoyer, Luke (21 June 2022). "OPT: Open Pre-trained Transformer Language Models". arXiv:2205.01068 [cs.CL].
  • Touvron, Hugo; Lavril, Thibaut; Izacard, Gautier; Grave, Edouard; Lample, Guillaume; et al. (27 February 2023). "LLaMA: Open and Efficient Foundation Language Models". arXiv:2302.13971 [cs.CL].
  • Taylor, Ross; Kardas, Marcin; Cucurull, Guillem; Scialom, Thomas; Hartshorn, Anthony; Saravia, Elvis; Poulton, Andrew; Kerkez, Viktor; Stojnic, Robert (16 November 2022). "Galactica: A Large Language Model for Science". arXiv:2211.09085 [cs.CL].
  • Black, Sidney; Biderman, Stella; Hallahan, Eric; et al. (1 May 2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models. pp. 95–136. arXiv:2204.06745. doi:10.18653/v1/2022.bigscience-1.9. Retrieved 19 December 2022 – via Association for Computational Linguistics - Anthology.
  • Biderman, Stella; Schoelkopf, Hailey; Anthony, Quentin; Bradley, Herbie; O'Brien, Kyle; Hallahan, Eric; Mohammad Aflah Khan; Purohit, Shivanshu; USVSN Sai Prashanth; Raff, Edward; Skowron, Aviya; Sutawika, Lintang; Oskar van der Wal (2023). "Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling". arXiv:2304.01373 [cs.CL].
  • Choi, Dami; Shavit, Yonadav; Duvenaud, David (2023). "Tools for Verifying Neural Models' Training Data". arXiv:2307.00682 [cs.LG].
  • Biderman, Stella; USVSN Sai Prashanth; Sutawika, Lintang; Schoelkopf, Hailey; Anthony, Quentin; Purohit, Shivanshu; Raff, Edward (2023). "Emergent and Predictable Memorization in Large Language Models". arXiv:2304.11158 [cs.CL].
  • Gupta, Kshitij; Thérien, Benjamin; Ibrahim, Adam; Richter, Mats L.; Anthony, Quentin; Belilovsky, Eugene; Rish, Irina; Lesort, Timothée (2023). "Continual Pre-Training of Large Language Models: How to (Re)warm your model?". arXiv:2308.04014 [cs.CL].

berkeley.edu

ml.berkeley.edu

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eleuther.ai

eleuther.ai

blog.eleuther.ai

  • Leahy, Connor; Hallahan, Eric; Gao, Leo; Biderman, Stella (7 July 2021). "What A Long, Strange Trip It's Been: EleutherAI One Year Retrospective". Archived from the original on 29 August 2023. Retrieved 1 March 2023.
  • Leahy, Connor; Hallahan, Eric; Gao, Leo; Biderman, Stella (7 July 2021). "What A Long, Strange Trip It's Been: EleutherAI One Year Retrospective". EleutherAI Blog. Archived from the original on 29 August 2023. Retrieved 14 April 2023.
  • "The View from 30,000 Feet: Preface to the Second EleutherAI Retrospective". 2 March 2023.

forefront.ai

handle.net

hdl.handle.net

  • Khan, Mehtab; Hanna, Alex (2023). "The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability". Ohio State Technology Law Journal. 19 (2): 171–256. hdl:1811/103549. SSRN 4217148.

huggingface.co

ieee.org

spectrum.ieee.org

infoworld.com

  • Yegulalp, James R. Borck, Martin Heller, Andrew C. Oliver, Ian Pointer, Matthew Tyson and Serdar (18 October 2021). "The best open source software of 2021". InfoWorld. Archived from the original on 8 March 2023. Retrieved 8 March 2023.{{cite web}}: CS1 maint: multiple names: authors list (link)
  • Yegulalp, James R. Borck, Martin Heller, Andrew C. Oliver, Ian Pointer, Isaac Sacolick, Matthew Tyson and Serdar (17 October 2022). "The best open source software of 2022". InfoWorld. Archived from the original on 8 March 2023. Retrieved 8 March 2023.{{cite web}}: CS1 maint: multiple names: authors list (link)

lifearchitect.ai

ljvmiranda921.github.io

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research.google.com

colab.research.google.com

ssrn.com

papers.ssrn.com

  • Khan, Mehtab; Hanna, Alex (2023). "The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability". Ohio State Technology Law Journal. 19 (2): 171–256. hdl:1811/103549. SSRN 4217148.

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