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Enhancing Large Language Models with a Network of Irrefutable Facts, Emphasis on Logical Operators, and Integration of Evergreen Data Sources
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Description: The project aims to advance the capabilities of Large Language Models (LLMs) by addressing critical challenges such as hallucinations, logical inconsistencies, and the need for up-to-date knowledge. Through the integration of a curated Network of Irrefutable Facts, the development of logical reasoning operators, and the inclusion of evergreen data sources (e.g., genomics, space exploration, environmental monitoring), the framework ensures LLMs remain grounded, reliable, and capable of complex reasoning in rapidly evolving domains.
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Enhancing Large Language Models with a Network of Irrefutable Facts and Emphasis on Logical Operators
This document outlines a novel framework to enhance Large Language Models (LLMs) by integrating a "Network of Irrefutable Facts" and emphasizing logic...
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