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Enhancing Large Language Models with a Network of Irrefutable Facts and Emphasis on Logical Operators
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Description: This document outlines a novel framework to enhance Large Language Models (LLMs) by integrating a "Network of Irrefutable Facts" and emphasizing logical reasoning through advanced operator constructs. The proposed approach aims to mitigate common issues like hallucinations and contradictions by anchoring LLMs in immutable truths and progressively training their reasoning capabilities. The document details the core components, implementation strategies, proposed architecture, anticipated outcomes, challenges, and next steps, offering a transformative shift from data-maximization to logic-maximization in AI development.
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