Optimizing Systems Engineering Workflows through Novel Applications of Large Language Models

Large Language Models;Machine Learning;MBSE;Model Based Systems Engineering;Systems Engineering;mbX;Automation;Artificial Intelligence;System Architecture

This session introduces the application of large language models in streamlining system engineering processes. Through use cases and implemented examples, gain insights into how LLMs can automate and enhance tasks such as system model generation, document contextualization, and fact extraction from unstructured data. Additionally, strategies for ensuring the safety, reliability, and accuracy of LLM responses will be introduced, enabling confident adoption of LLMs in system engineering workflows.