In summary, o1-preview was proven to be substantially more capable at processing the original 139x38 extracellular metabolite table in-context with user prompts, a main paper summary, and summaries from 10 papers and the additional review summary, as illustrated in Figure , Table . Although analogous processing or output limitations of high dimensional data existed for o1-preview vs. traditional machine learning methods, the model included the key metabolites that were affected most by the new understandings. o1-preview's detailed explanation of expected breakthroughs by individual metabolites or authors' names with reasonings added an additional layer of interpretability to its generation not found in any of the other models tested in this study.