LMMs will likely improve in multi-modal training data set volume and quality, along with optimization of the multimodal fusion process and AI software architecture improvements. Although Prompt A for quinoline was listed as and advanced problem, it could be solved in similar time by an expert due to less spectra complexity. Prompt B would take a researcher longer due to two misidentified peaks, and Prompt C would take a human the longest time due to more information and higher complexity. A larger problem with 21 pieces of information, including multiple 2D NMRs was also analyzed, but text generations in words did not increase for additional analysis, likely due to context window limitations or data fusion issues. For additional information, see Supplementary Prompt J. In general, generations for Prompts A-J followed the order of the spectra that was presented to them and were typically in accuracies with higher complexity and number of spectra, as illustrated in Figure .