Automated Generation of AML Models for Industrial Plants Using LLM Chat Applications
Franz Christopher Kunze, Alexander Fay · 2024
With rapid advances in large language model technology, more and more difficult tasks become realizable. Recent studies have shown that commercially available LLM chat tools can already solve complex engineering tasks. In this paper, we apply these LLM chat tools to the task of automated AML model generation, on the example of the Tennessee Eastman process. Besides complexity, this task also adds further challenges, as the scale of the process surpasses the LLM tool's limit for output generation. With our preliminary results, we map the requirements that model generation on this scale poses on LLM chat tools and propose solutions to new challenges derived from this task.