关注
Girish Sastry
Girish Sastry
OpenAI
在 openai.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Language models are few-shot learners
TB Brown
arXiv preprint arXiv:2005.14165, 2020
324362020
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
219502021
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
38522023
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
28792021
AI and Compute
D Amodei, D Hernandez, G Sastry, J Clark, G Brockman, I Sutskever
4642018
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
3802020
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
3552022
Trial without error: Towards safe reinforcement learning via human intervention
W Saunders, G Sastry, A Stuhlmueller, O Evans
arXiv preprint arXiv:1707.05173, 2017
3152017
Generative language models and automated influence operations: Emerging threats and potential mitigations
JA Goldstein, G Sastry, M Musser, R DiResta, M Gentzel, K Sedova
arXiv preprint arXiv:2301.04246, 2023
2352023
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
1982005
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
1122021
& Amodei, D.(2020)
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
Language models are few-shot learners, 2005
1012005
Language models are few-shot learners (arXiv: 2005.14165). arXiv
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
982005
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165 1, 2020
822020
AI and compute, 2018
D Amodei, D Hernandez, G Sastry, J Clark, G Brockman, I Sutskever
URL https://openai. com/blog/ai-and-compute 4, 2018
732018
International conference on machine learning
A Radford, JW Kim, C Hallacy, A Ramesh, G Goh, S Agarwal, G Sastry, ...
PMLR, 2021
502021
Evaluating large language models trained on code. arXiv 2021
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374 10, 2021
442021
Computing Power and the Governance of Artificial Intelligence
G Sastry, L Heim, H Belfield, M Anderljung, M Brundage, J Hazell, ...
arXiv preprint arXiv:2402.08797, 2024
142024
Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations By admin No Comments
JA Goldstein, G Sastry, M Musser, R DiResta, M Gentzel, K Sedova
6
Considerations for evaluating large language models for cybersecurity tasks
J Gennari, S Lau, S Perl, J Parish, G Sastry
Carnegie Mellon University, 2024
52024
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