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Leto
{TensorFlow}: a system for {Large-Scale} machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th USENIX symposium on operating systems design and implementation (OSDI …
, 2016
58648
*
2016
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805
, 2023
3405
2023
Fine-tuning language models from human preferences
DM Ziegler, N Stiennon, J Wu, TB Brown, A Radford, D Amodei, ...
arXiv preprint arXiv:1909.08593
, 2019
1631
2019
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467 10
, 2019
1343
2019
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446
, 2021
1171
2021
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
International conference on machine learning, 2206-2240
, 2022
1150
2022
Ethical and social risks of harm from language models
L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ...
arXiv preprint arXiv:2112.04359
, 2021
1087
2021
Taxonomy of risks posed by language models
L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ...
Proceedings of the 2022 ACM conference on fairness, accountability, and …
, 2022
651
2022
Red teaming language models with language models
E Perez, S Huang, F Song, T Cai, R Ring, J Aslanides, A Glaese, ...
arXiv preprint arXiv:2202.03286
, 2022
642
2022
TensorFlow: Large-scale machine learning on heterogeneous systems
A Martín, A Ashish, B Paul, B Eugene, C Zhifeng, C Craig, SC Greg, ...
Software available from tensorflow. org 7
, 2015
562
2015
TensorFlow: large-scale machine learning on heterogeneous distributed systems (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467 52
, 2015
547
2015
Tensorflow: A system for large-scale machine learning
A Martín, B Paul, C Jianmin, C Zhifeng, D Andy, D Jeffrey, D Matthieu, ...
12th USENIX symposium on operating systems design and implementation (OSDI …
, 2016
517
2016
Invertible finite elements for robust simulation of large deformation
G Irving, J Teran, R Fedkiw
Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer …
, 2004
517
2004
Improving alignment of dialogue agents via targeted human judgements
A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ...
arXiv preprint arXiv:2209.14375
, 2022
492
2022
Reward learning from human preferences and demonstrations in atari
B Ibarz, J Leike, T Pohlen, G Irving, S Legg, D Amodei
Advances in neural information processing systems 31
, 2018
469
2018
TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
441
2019
Accelerating large language model decoding with speculative sampling
C Chen, S Borgeaud, G Irving, JB Lespiau, L Sifre, J Jumper
arXiv preprint arXiv:2302.01318
, 2023
325
2023
12th USENIX symposium on operating systems design and implementation (OSDI 16)
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
Savannah, GA, 265-283
, 2016
305
*
2016
Robust quasistatic finite elements and flesh simulation
J Teran, E Sifakis, G Irving, R Fedkiw
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer …
, 2005
297
2005
Solving math word problems with process-and outcome-based feedback
J Uesato, N Kushman, R Kumar, F Song, N Siegel, L Wang, A Creswell, ...
arXiv preprint arXiv:2211.14275
, 2022
238
2022
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