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Gretchen Krueger
Gretchen Krueger
OpenAI
Verifierad e-postadress på openai.com
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Language models are few-shot learners
T Brown, B Mann, N Ryder, M Subbiah, JD Kaplan, P Dhariwal, ...
Advances in neural information processing systems 33, 1877-1901, 2020
241592020
Learning transferable visual models from natural language supervision
A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ...
International conference on machine learning, 8748-8763, 2021
151132021
Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford …, 2020
64572020
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
19502021
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
7202023
Webgpt: Browser-assisted question-answering with human feedback
R Nakano, J Hilton, S Balaji, J Wu, L Ouyang, C Kim, C Hesse, S Jain, ...
arXiv preprint arXiv:2112.09332, 2021
6682021
Release strategies and the social impacts of language models
I Solaiman, M Brundage, J Clark, A Askell, A Herbert-Voss, J Wu, ...
arXiv preprint arXiv:1908.09203, 2019
4042019
Toward trustworthy AI development: mechanisms for supporting verifiable claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
3252020
Text and code embeddings by contrastive pre-training
A Neelakantan, T Xu, R Puri, A Radford, JM Han, J Tworek, Q Yuan, ...
arXiv preprint arXiv:2201.10005, 2022
2212022
Language Models are Few-Shot Learners. 2020. doi: 10.48550
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arxiv, 5-7, 2005
1442005
Language models are few-shot learners. arXiv
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Computer Science, Computation and Language, 2005
1372005
Evaluating clip: towards characterization of broader capabilities and downstream implications
S Agarwal, G Krueger, J Clark, A Radford, JW Kim, M Brundage
arXiv preprint arXiv:2108.02818, 2021
922021
DALL· E: Creating images from text
A Ramesh, M Pavlov, G Goh, S Gray, M Chen, R Child, V Misra, P Mishkin, ...
OpenAI blog. https://openai. com/blog/dall-e, 2021
802021
Learning transferable visual models from natural language supervision. arXiv
A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ...
arXiv preprint arXiv:2103.00020, 2021
772021
Language models are few-shot learners. CoRR abs/2005.14165 (2020)
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
URL: https://arxiv. org/abs/2005.14165, 2005
702005
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165, 2020
472020
Filling gaps in trustworthy development of AI
S Avin, H Belfield, M Brundage, G Krueger, J Wang, A Weller, ...
Science 374 (6573), 1327-1329, 2021
302021
A hazard analysis framework for code synthesis large language models
H Khlaaf, P Mishkin, J Achiam, G Krueger, M Brundage
arXiv preprint arXiv:2207.14157, 2022
152022
Language models are few-shot learners.[Cs]
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Proceedings of 2020 Neural Information Processing Systems, 2020
132020
2. A. Bordes, Y. Boureau, and J. Weston. Learning end-to-end goal-oriented dialog. In 5th
GS Shyam, A Askell, S Agarwal, A Herbert-Voss, G Krueger, T Henighan, ...
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