AI Article Synopsis
- - Large language models like ChatGPT can speed up scientific tasks by providing quick answers to complex questions in fields like biology.
- - The diversity in ChatGPT's responses about 'plant awareness' highlights the variability and limitations in AI-generated information.
- - Involving scientists in the validation process of AI data and methods is crucial to ensure accuracy and reliability in the information provided by these models.
Article Abstract
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.
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| http://dx.doi.org/10.1016/j.tplants.2023.06.016 | DOI Listing |
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