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arXiv · 2401.06801

Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems

Ye Li
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Abstract

This paper presents Graph-of-Thought (GoT), a new model for workflow automation that enhances the flexibility and efficiency of Large Language Models (LLMs) in complex task execution. GoT advances beyond traditional linear and tree-like cognitive models with a graph structure that enables dynamic path selection. The open-source engine GoTFlow demonstrates the practical application of GoT, facilitating automated, data-driven decision-making across various domains. Despite challenges in complexity and transparency, GoTFlow's potential for improving business processes is significant, promising advancements in both efficiency and decision quality with continuous development.

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Ye Li. 2024-01-10. Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems. https://arxiv.org/abs/2401.06801

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