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Updated: May 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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人工智能和理解的幻觉:思想理论和大型语言模型的系统审查

Antonella Marchetti1, Federico Manzi1, Giuseppe Riva2

  • 1Department of Psychology, Research Center on Theory of Mind and Social Competences in the Lifespan, Università Cattolica del Sacro Cuore, Milan, Italy.

Cyberpsychology, behavior and social networking
|May 7, 2025
PubMed
概括

大型语言模型 (LLM) 在基本的思维理论 (ToM) 任务中表现有前途,但与人类不同的是,它在复杂的推理中扎. 方法上的局限性和缺乏真正的认知机制在人工ToM中创造了"理解的错觉".

关键词:
人工智能 (AI) 是一种人工智能.大型语言模型 (LLM)思想理论 (ToM) 是一种理论.社会推理的社会推理.

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