Problem
Research questions and friction points this paper is trying to address.
context operations
large language models
systems engineering design
modelling-as-code
evaluation criteria
Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
🤖 AI Summary
本文提出一种框架，通过模块化上下文单元来组装大型语言模型的工程设计输出，并提供了一种评估方法以确保其符合设计意图。
📝 Abstract
The development of generative artificial intelligence resources enables opportunities of speeding up systems and engineering design work. This contribution introduces a framework of formal operations for assembling context in LLM-based engineering design. This framework involves the assembly of modular context units, including policy prompts, reference units with persistence, and user questions with prompt vectoring. This approach enables the systematic structuring of interactions with generative models. A formal method for evaluating modelling-as-code LLM outputs is also presented, which enables the evaluation of compliance to intent from LLM answers and thereby asses the support from LLMs for systems architecture modelling.
Innovation
Methods, ideas, or system contributions that make the work stand out.
context assembly
modular context units
evaluation of LLM outputs
systems engineering design
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