数字心理健康的快速工程:一个简短的回顾
Y H P P Priyadarshana1, Ashala Senanayake1, Zilu Liang1
1Ubiquitous and Personal Computing Lab, Faculty of Engineering, Kyoto University of Advanced Science (KUAS), Kyoto, Japan.
Frontiers in digital health
|June 27, 2024
概括
提示工程指导数字心理健康应用的大型语言模型. 本综述详细介绍了提示类型,方法和任务,为未来在这一重要领域的研究提供了基础.
科学领域:
- 自然语言处理 (NLP) 是一种自然语言处理.
- 数字心理健康数字心理健康
- 人工智能 (AI) 是一种人工智能.
背景情况:
- 数字心理健康对于早期检测和干预至关重要,解决了对临床专业知识的有限访问问题.
- 提示工程是一个新兴的领域,可以优化大型语言模型 (LLM) 在各种NLP任务中的性能.
研究的目的:
- 审查用于数字心理健康应用程序的快速工程的最新进展.
- 成为第一个讨论快速工程类型,方法和任务,特别是在数字心理健康领域的第一位.
主要方法:
- 关于最近快速工程技术的文献综述.
- 通过快速工程处理的数字心理健康任务的分类 (分类,生成,问答).
主要成果:
- 确定与数字心理健康相关的关键快速工程类型和方法.
- 快速工程应用在分类,生成和回答心理健康问题的任务中的概述.
结论:
- 快速工程为推进数字心理健康工具提供了巨大的潜力.
- 未来的研究应该解决这个领域的挑战,局限性和伦理考虑.
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