AI

Prompt engineering using order-of-addition experiments: An application to generating two-level fractional factorial designs

Large language models (LLMs) are becoming ubiquitous in engineering and science because they can turn prompts into data analysis code, experimental designs, formulations of optimization problems, among other applications. However, many LLMs suffer …

A systematic assessment of Large Language Models for constructing two-level fractional factorial designs

Two-level fractional factorial designs permit the study multiple factors using a limited number of runs. Traditionally, these designs are obtained from catalogs available in standard textbooks or statistical software. However, modern Large Language …