Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, QC, Canada.
Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, QC, Canada.
Trends Plant Sci. 2023 Oct;28(10):1095-1097. doi: 10.1016/j.tplants.2023.06.016. Epub 2023 Aug 2.
Large language models (LLMs) will benefit science by accelerating task performance. We explored whether answers generated by ChatGPT (generative pretrained transformer) to questions of biology are sufficiently diverse. 'Plant awareness' in ChatGPT answers was found to be highly variable, illustrating the importance of scientists being involved in validating the data and methods used to train artificial intelligence (AI) models.
大型语言模型 (LLMs) 将通过加速任务执行来使科学受益。我们探讨了 ChatGPT(生成式预训练转换器)对生物学问题的回答是否足够多样化。发现 ChatGPT 回答中的“植物意识”变化很大,这说明了科学家参与验证用于训练人工智能 (AI) 模型的数据和方法的重要性。