These AI developments in bioprocess engineering have addressed data types that may lack diversity, and typically do not possess high contextual awareness to provide a solution to concurrent linguistic and numerical problems. For instance, providing AI with large amounts of tabulated data for inference while gaining insight from new reports with data to provide industry insights is relegated to recent advanced Large Language Models (LLMs) or Large Multimodal Models (LMMs) that are capable of maintaining prior AI analytical performance, while using natural language processing (NLP) and supporting tools to read information and respond with intuition to researchers in English .