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Transgenic Plants02:50

Transgenic Plants

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Recombinant DNA technology called transgenesis is often used to add a foreign gene or remove a detrimental gene from an organism. Such genetically modified organisms are called transgenic organisms.
The first-ever transgenic plant was a tobacco plant developed in 1983 that showed resistance against the tobacco mosaic virus. Since then, many transgenic plants have been developed and commercialized for improving the agricultural, ornamental, and horticultural value of a crop plant. Transgenic...
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一个广泛的基准研究生物医学文本生成和采矿与ChatGPT.

Qijie Chen1, Haotong Sun1, Haoyang Liu2,3

  • 1AIDD, Mindrank AI Ltd, Zhejiang 310000, China.

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像ChatGPT这样的大型语言模型在生物医学文本分析中表现有希望,但尚未与最先进的性能相匹配. 需要进一步的研究来提高他们在专业领域的能力.

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科学领域:

  • 生物医学自然语言处理
  • 人工智能在医学中的应用

背景情况:

  • 最近自然语言处理 (NLP) 和深度学习的进展显著改善了大型语言模型 (LLM).
  • 基于GPT-3.5和GPT-4构建的ChatGPT显示出强大的通用语言理解和推理能力.
  • 对ChatGPT在专业领域,特别是生物医学领域的能力的探索是一个越来越感兴趣的领域.

研究的目的:

  • 为了全面比较ChatGPT在各种生物医学文本相关任务上的表现.
  • 评估其在理解,推理和生成生物医学文本方面的有效性.
  • 为了确定ChatGPT的局限性,特别是基于GPT-3.5的版本,在这个领域.

主要方法:

  • 使用了BLURB基准数据集,包括生物医学摘要和临床试验描述.
  • 在标准NLP任务上评估ChatGPT,例如命名实体识别,关系提取,句子相似性,问题解答和文档分类.
  • 实验中使用的提示在文章中详细说明.

主要成果:

  • 聊天GPT获得了BLURB得分58.50,而最先进的模型得分为84.30.
  • 在多个生物医学NLP任务中展示了ChatGPT的多功能性.
  • 突出了ChatGPT (GPT-3.5) 在复杂的生物医学文本处理中的特定局限性.

结论:

  • 在生物医学文本理解,推理和生成方面,ChatGPT表现出了显著的有效性和多功能性.
  • 目前的表现表明,与最先进的模型相比,ChatGPT,特别是GPT-3.5,在专门的生物医学应用中存在局限性.
  • 需要进一步开发,以增强LLM对高级生物医学NLP任务的能力.