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体育中的人工智能:探索使用ChatGPT在阻力训练中的潜力

Jad Adrian Washif¹, Jeffrey Pagaduan², Carl James³

¹Sports Performance Division, National Sports Institute of Malaysia, Kuala Lumpur, Malaysia.

Biology of sport

|March 25, 2024

概括

聊天GPT可以起草抵抗训练程序,GPT4.0提供比GPT3.5.5更多的细节. 然而,人工智能生成的程序需要专家审查才能有效.

科学领域:

运动科学运动科学运动科学
运动生理学运动生理学
运动中的人工智能

背景情况:

开放AI的ChatGPT技术促进了包括体育在内的多个领域的对话性AI应用.
大型语言模型产生结构化培训协议的潜力是一个新兴的研究领域.

研究的目的:

评估ChatGPT在设计基于特定用户提示的12周抵抗训练计划方面的能力.
为了比较GPT3.5和GPT4.0在产生对假设个体的抵抗训练计划中的输出.

主要方法:

促使GPT3.5和GPT4.0为中级男性和女性受试者创建了为期12周的抵抗训练计划.
此外,GPT4.0还被要求为相同的配置文件设计一个高级程序.
生成的程序被分析并与已建立的强度和空调指南进行比较.

主要成果:

聊天GPT生成了12周的计划,分为三个4周的阶段,具有不同的培训目标.
GPT4.0产生的程序比GPT3.5更详细,表明对经验水平 (中级与高级) 的认识.
节目成果在性别方面普遍一致,但需要微调才能实际应用.

结论:

聊天GPT可以作为起草抵抗训练计划的初步工具.
人类专业知识对于改进人工智能产生的程序至关重要,以确保最佳的培训效率.
与GPT3.5相比,GPT4.0显示了增强的信息合成和上下文理解,用于培训计划设计.

关键词:

聊天机器人聊天机器人运动处方运动处方个性化培训个性化培训定期制的时间表.编程编程编程编程强度训练强度训练强度训练强度训练

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