Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
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Abstract (arXiv)
This article introduces an innovative architecture designed to declaratively combine Large Language Models (LLMs) with shared histories, and triggers to identify the most appropriate LLM for a given task. Our approach is general and declarative, relying on the construction of finite automata coupled with an event management system. The developed tool is crafted to facilitate the efficient and complex integration of LLMs with minimal programming effort, especially, but not only, for integrating methods of positive psychology to AI. The flexibility of our technique is demonstrated through applied examples in automation, communication, and ethics.
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References · 6
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- 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
- 2023Progressive-Hint Prompting Improves Reasoning in Large Language Modelscited by 147
- 2024Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMscited by 20
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