This article, based on the "Cumulative Reasoning" method proposed by Academician Yao Qizhi's team, allows readers to gain a more intuitive understanding of this thinking approach by completing 10 reasoning problems. Unlike "Chain Thinking," "Cumulative Reasoning" derives different conclusions through the combination of conditions, and then synthesizes these conclusions to arrive at the answer, thereby enhancing the ability of AI models to handle complex tasks. The article provides a straightforward explanation of the differences between the two reasoning methods, aiding readers in mastering this new AI model thinking approach.
Yao Qizhi's Team Proposes 'Cumulative Reasoning' Method, AI Experiences This Way of Thinking Through Problem-Solving

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This article is from AIbase Daily
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