A new framework for structuring interactions with large language models (LLMs) in systems engineering design has been proposed. This framework introduces formal operations for assembling context, including policy prompts, persistent reference units, and user questions with prompt vectoring. Additionally, a method for evaluating LLM outputs in a modelling-as-code context is presented, which assesses compliance with user intent and the LLM's support for systems architecture modeling. AI
IMPACT This framework could streamline and improve the accuracy of LLM-assisted systems engineering design processes.
RANK_REASON The cluster contains a research paper detailing a new framework for LLM application in systems engineering. [lever_c_demoted from research: ic=1 ai=1.0]
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