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{ |
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"Generate questions that can be asked": { |
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"Date & Time": "2024-06-03T14:09:18.659306", |
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"Model Name": [ |
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"gpt-3.5-turbo" |
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], |
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"https://github.com/openai/gpt-3/blob/d7a9bb505df6f630f9bab3b30c889e52f22eb9ea/model-card.md" |
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], |
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"License Information": [ |
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"https://openai.com/policies" |
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], |
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"Citation Information": [ |
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"@article{yu2023large,\n title={Large language model as attributed training data generator: A tale of diversity and bias},\n author={Yu, Yue and Zhuang, Yuchen and Zhang, Jieyu and Meng, Yu and Ratner, Alexander and Krishna, Ranjay and Shen, Jiaming and Zhang, Chao},\n journal={arXiv preprint arXiv:2306.15895},\n year={2023}\n}", |
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"@article{brown2020language,\n title={Language models are few-shot learners},\n author={Brown, Tom and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared D and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and others},\n journal={Advances in neural information processing systems},\n volume={33},\n pages={1877--1901},\n year={2020}\n}", |
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"@article{ouyang2022training,\n title={Training language models to follow instructions with human feedback},\n author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n journal={Advances in Neural Information Processing Systems},\n volume={35},\n pages={27730--27744},\n year={2022}\n}" |
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] |
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}, |
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"Generate questions that can be asked (map)": { |
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"Date & Time": "2024-06-03T14:09:18.794535" |
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}, |
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"Date & Time": "2024-06-03T14:09:18.874377" |
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"Date & Time": "2024-06-03T14:14:13.961942" |
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"interpreter": "3.11.9 (main, Apr 19 2024, 11:43:47) [Clang 14.0.6 ]" |
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