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arXiv 2501.12904cs.SE
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大语言模型集成系统的功能软件参考架构

A Functional Software Reference Architecture for LLM-Integrated Systems

Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo

AI总结:

本文提出一个初步的功能参考架构,用于指导大语言模型集成系统的设计、评估与演进,并通过三个开源系统验证其适用性。

摘要:

将大语言模型集成到软件系统中,正在改变自然语言理解、决策制定和自主任务执行等能力。然而,缺乏普遍接受的软件参考架构,阻碍了对这些系统的设计及其质量属性进行系统性推理。这一空白使得解决隐私、安全、模块化和互操作性等关键问题变得具有挑战性,而随着这些系统在复杂性和社会影响方面的不断增长,这些问题日益重要。在本文中,我们描述了我们针对初步功能参考架构的初步结果,该架构作为一个概念框架,以应对这些挑战并指导大语言模型集成系统的设计、评估和演进。我们基于当前的研究和实践,识别了这些系统的关键架构关注点。然后,我们评估了该架构如何解决这些关注点,并使用三个开源的大语言模型集成系统(分别涉及计算机视觉、文本处理和编码)验证了其适用性。

英文摘要:

The integration of large language models into software systems is transforming capabilities such as natural language understanding, decision-making, and autonomous task execution. However, the absence of a commonly accepted software reference architecture hinders systematic reasoning about their design and quality attributes. This gap makes it challenging to address critical concerns like privacy, security, modularity, and interoperability, which are increasingly important as these systems grow in complexity and societal impact. In this paper, we describe our \textit{emerging} results for a preliminary functional reference architecture as a conceptual framework to address these challenges and guide the design, evaluation, and evolution of large language model-integrated systems. We identify key architectural concerns for these systems, informed by current research and practice. We then evaluate how the architecture addresses these concerns and validate its applicability using three open-source large language model-integrated systems in computer vision, text processing, and coding.

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。

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