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Sam McCandlish
Sam McCandlish
Anthropic
Dirección de correo verificada de anthropic.com - Página principal
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Language models are few-shot learners
TB Brown
arXiv preprint arXiv:2005.14165, 2020
43717*2020
Scaling laws for neural language models
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess, R Child, ...
arXiv preprint arXiv:2001.08361, 2020
35562020
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPDO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
33102021
Training a helpful and harmless assistant with reinforcement learning from human feedback
Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ...
arXiv preprint arXiv:2204.05862, 2022
14222022
Constitutional ai: Harmlessness from ai feedback
Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ...
arXiv preprint arXiv:2212.08073, 2022
11092022
Language Models are Few-Shot Learners, arxiv, 2020
TB Brown
5102005
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
D Ganguli, L Lovitt, J Kernion, A Askell, Y Bai, S Kadavath, B Mann, ...
arXiv preprint arXiv:2209.07858, 2022
4002022
A general language assistant as a laboratory for alignment
A Askell, Y Bai, A Chen, D Drain, D Ganguli, T Henighan, A Jones, ...
arXiv preprint arXiv:2112.00861, 2021
3542021
Scaling laws for autoregressive generative modeling
T Henighan, J Kaplan, M Katz, M Chen, C Hesse, J Jackson, H Jun, ...
arXiv preprint arXiv:2010.14701, 2020
3412020
Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020
J Kaplan, S McCandlish, T Henighan, TB Brown, B Chess
Scaling laws for neural language models 1, 2001
3262001
In-context learning and induction heads
C Olsson, N Elhage, N Nanda, N Joseph, N DasSarma, T Henighan, ...
arXiv preprint arXiv:2209.11895, 2022
3232022
Predictability and surprise in large generative models
D Ganguli, D Hernandez, L Lovitt, A Askell, Y Bai, A Chen, T Conerly, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
2752022
A mathematical framework for transformer circuits
N Elhage, N Nanda, C Olsson, T Henighan, N Joseph, B Mann, A Askell, ...
Transformer Circuits Thread 1 (1), 12, 2021
2752021
Toy models of superposition
N Elhage, T Hume, C Olsson, N Schiefer, T Henighan, S Kravec, ...
arXiv preprint arXiv:2209.10652, 2022
2662022
A stereoscopic look into the bulk
B Czech, L Lamprou, S McCandlish, B Mosk, J Sully
Journal of High Energy Physics 2016 (7), 1-47, 2016
2482016
Integral geometry and holography
B Czech, L Lamprou, S McCandlish, J Sully
Journal of High Energy Physics 2015 (10), 1-41, 2015
2422015
Spontaneous segregation of self-propelled particles with different motilities
SR McCandlish, A Baskaran, MF Hagan
Soft Matter 8 (8), 2527-2534, 2012
2382012
An empirical model of large-batch training
S McCandlish, J Kaplan, D Amodei, OAID Team
arXiv preprint arXiv:1812.06162, 2018
2292018
Discovering language model behaviors with model-written evaluations
E Perez, S Ringer, K Lukošiūtė, K Nguyen, E Chen, S Heiner, C Pettit, ...
arXiv preprint arXiv:2212.09251, 2022
2142022
Scaling laws for transfer
D Hernandez, J Kaplan, T Henighan, S McCandlish
arXiv preprint arXiv:2102.01293, 2021
1942021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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