释放人工认知:整合多种人工智能系统

Muntasir Adnan, Buddhi Gamage, Zhiwei Xu, Damith Herath, Carlos Noschang Kuhn
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引用次数: 0

摘要

在这项研究中,我们提出了一种将语言模型和查询分析技术相结合的创新方法,以解开人工智能中的认知难题。我们的系统将国际象棋引擎与语言模型无缝集成,使其能够预测棋步并提供策略解释。我们的 OpenSI 人工智能系统通过可检索答案的生成来利用矢量数据库,从而阐明其决策过程,缩小了原始计算与类人理解之间的差距。我们选择国际象棋作为演示环境,证明了我们方法的通用性。除了国际象棋,我们的系统还有望应用于从医疗诊断到金融预测等各种领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unleashing Artificial Cognition: Integrating Multiple AI Systems
In this study, we present an innovative fusion of language models and query analysis techniques to unlock cognition in artificial intelligence. Our system seamlessly integrates a Chess engine with a language model, enabling it to predict moves and provide strategic explanations. Leveraging a vector database through retrievable answer generation, our OpenSI AI system elucidates its decision-making process, bridging the gap between raw computation and human-like understanding. Our choice of Chess as the demonstration environment underscores the versatility of our approach. Beyond Chess, our system holds promise for diverse applications, from medical diagnostics to financial forecasting.
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