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            "Date & Time": "2024-06-03T14:09:18.659306",
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            "Model Card": [
                "https://github.com/openai/gpt-3/blob/d7a9bb505df6f630f9bab3b30c889e52f22eb9ea/model-card.md"
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            "License Information": [
                "https://openai.com/policies"
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            "Citation Information": [
                "@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}",
                "@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}",
                "@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}"
            ]
        },
        "Generate questions that can be asked (map)": {
            "Date & Time": "2024-06-03T14:09:18.794535"
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