大型语言模型及其巨大的废话潜力.
1School of English, Communication and Philosophy, Cardiff University, Cardiff, UK.
概括
大型语言模型 (LLM) 可以通过在没有真实性评估的情况下生成可信的内容来"胡说八道". 然而,有了适当的保护措施,LLM不需要产生胡说八道,这取决于它们的设计.
科学领域:
- 人工智能的人工智能
- 语言的哲学语言的哲学
- 计算语言学 计算语言学
背景情况:
- 大型语言模型 (LLM) 在各种应用中越来越普遍.
- 人们担心LLM可能会产生令人信服但不真实的内容,这种行为被称为"胡说八道".
- 胡说八道破坏了真实性和真理在话语中的感知价值.
研究的目的:
- 调查大型语言模型是否参与胡说八道.
- 为了确定LLM的胡说八道倾向是固有的还是可以控制的.
主要方法:
- 针对事实搜索提示的LLM输出分析.
- 哲学检查的定义和含义的胡说八道.
- 考虑潜在的技术和基于设计的干预措施.
主要成果:
- 在没有事先真相评估的情况下,LLM可以发布命题内容,与胡说八道的定义保持一致.
- 这种行为并不是所有法学士的固有特征.
- LLM倾向于胡说八道的倾向取决于它们的特定架构和实施的护.
结论:
- 大型语言模型具有胡说八道的能力.
- 实施适当的防护可以减轻LLM产生胡说八道的风险.
- 类似于人类说话者,LLM的行为受到其内部配置和外部控制的影响.
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