Related text from the article: "Optimizing desired N-glycan in the plant host is crucial for achieving specific N-glycan profiles on therapeutic glycoproteins, ensuring their biological functionality." The example shown in Table illustrates a step-by-step generative AI response from o1-preview based on Paper 04 Okamura, K., et al. regarding how LLM computational techniques, primarily dimension reduction and combinatorial optimization, should be used to advance mAb production. The model performed well (10.0/10.0) in following Prompt A1 by returning five selections of text in quotations that will see the greatest production improvements in speed or performance. Two exceptions were found with the first AI quotation, which was part of the paper Introduction instead of being identified as from the Abstract. In addition, the second quotation should have used the letter 'Q' instead of the symbol µ for µ lac , µ gln , and µ p . The generation answered the prompt proficiently based on improving mAb production with the following o1-preview excerpts: