减少生成式人工智能在土壤生物学中的不准确性

IF 9.8 1区农林科学 Q1 SOIL SCIENCE

Soil Biology & Biochemistry Pub Date : 2024-07-04 DOI:10.1016/j.soilbio.2024.109510

Jared L. DeForest

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引用次数: 0

摘要

生成式人工智能（GenAI）正在成为提高效率的重要工具，可用于帮助培养学生的批判性思维能力，并有可能协助生成假设。GenAI 擅长改进原创内容，使其更容易为更多受众所接受。虽然 GenAI 可以创造出令人惊叹的图像，但即使经过精心设计的提示工程，不准确的地方仍然存在。同样，GenAI 在准确处理细微信息方面也面临挑战，这突出表明，在创建提示和解释 GenAI 响应时，需要具备基础知识和批判性思维。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Mitigating generative AI inaccuracies in soil biology

Generative AI (GenAI) is becoming a valuable tool for enhancing efficiency and can be used to help foster critical thinking skills among students and possibly assist in hypothesis generation. GenAI can excel at improving original content and to make it more accessible to broader audiences. While GenAI can create stunning images, inaccuracies persist, even with well-designed prompt engineering. Likewise, challenges persist in GenAI processing nuanced information accurately, highlighting the need for foundational knowledge and critical thinking when creating prompts and interpreting GenAI responses.

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来源期刊

Soil Biology & Biochemistry 农林科学-土壤科学

CiteScore

16.90

自引率

9.30%

发文量

312

审稿时长

49 days

期刊介绍： Soil Biology & Biochemistry publishes original research articles of international significance focusing on biological processes in soil and their applications to soil and environmental quality. Major topics include the ecology and biochemical processes of soil organisms, their effects on the environment, and interactions with plants. The journal also welcomes state-of-the-art reviews and discussions on contemporary research in soil biology and biochemistry.