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In the field of environmental science, it is crucial to have robust evaluation metrics for large language models to ensure their efficacy and accuracy.
Performance of some estimators of relative variability
Raydonal Ospina and Fernando Marmolejo-Ramos · 2019
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Autonomous chemical research with large language models
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Medbench: A large-scale chinese benchmark for evaluating medical large language models, 2023
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China Academic Degrees and Graduate Education Development Center · 2023
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Llama: Open and efficient foundation language models, 2023
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Chatgpt and environmental research
Jun-Jie Zhu, Jinyue Jiang, Meiqi Yang, and Zhiyong Jason Ren · 2023
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Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra, 2024
Darioush Kevian, Usman Syed, Xingang Guo, Aaron Havens, Geir Dullerud, Peter Seiler, Lianhui Qin, and Bin Hu · 2024
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Lawgpt, 2023
Lawgpt · 2023
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OpenAI · 2023
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