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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.06801 |
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| _version_ | 1866929246347198464 |
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| author | Li, Ye |
| author_facet | Li, Ye |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_06801 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems Li, Ye Artificial Intelligence 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. |
| title | Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2401.06801 |