通过有限自动机对大型语言模型进行声明式集成与管理：在自动化、通信和伦理中的应用
Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics
AI总结：
本文提出一种基于有限自动机和事件管理系统的声明式架构，用于将大型语言模型与共享历史结合并触发任务匹配，以最少编程实现高效集成，并在自动化、通信和伦理领域验证了其灵活性。
摘要：
本文介绍了一种创新架构，旨在以声明式方式将大型语言模型（LLMs）与共享历史相结合，并通过触发器为给定任务识别最合适的LLM。该方法具有通用性和声明性，依赖于有限自动机的构建并结合事件管理系统。所开发的工具旨在以最少的编程工作量实现LLMs的高效复杂集成，特别是（但不限于）将积极心理学方法集成到AI中。通过在自动化、通信和伦理领域的应用示例展示了该技术的灵活性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
