大型语言模型和多模式基础模型用于精密瘤学
Daniel Truhn1, Jan-Niklas Eckardt2,3, Dyke Ferber4,5
1Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.
NPJ precision oncology
|March 23, 2024
概括
人工智能 (AI) 和大型语言模型 (LLM) 显示了人类级别的文字处理,推动了癌症研究. 综合多种数据类型的多式人工智能模型正在出现,影响精确瘤学.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 生物信息学是一种生物信息学.
背景情况:
- 自2022年以来,人工智能 (AI) 的快速发展.
- 大型语言模型 (LLM) 实现了人类级别的文字处理能力.
- 变压器神经网络越来越多地用于文字和图像处理.
研究的目的:
- 概述与瘤学相关的近期人工智能发展.
- 突出转向多式联通AI模型的转变.
- 讨论这些进展对精确瘤学的预期影响.
主要方法:
- 审查人工智能的技术进步,特别是LLM和变压器网络.
- 在AI中分析文本和图像处理的融合.
- 新兴的人工智能趋势及其影响的编辑总结.
主要成果:
- 人工智能,特别是LLM,现在在文字处理中与人类的表现相匹配.
- 变压器神经网络是人工智能模型的常见基础.
- 开发能够同时处理各种数据输入的多式联络人工智能.
结论:
- 人工智能技术的融合标志着从专门模型的显著转变.
- 多式人工智能准备彻底改变癌症研究和精确瘤学.
- 这些人工智能进步预计将在未来几年产生重大影响.
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