Figure : Empirical vs. mechanistic models for bioprocess development, Mu'azzam, K., et al. 2024 For Part I, performance to improve weaknesses such as specific lactate production rate (Qlac) and regulating a lactate shift in reactors such as Figure was limited to models that could do document retrieval on each of the three paper combinations (Paper 02 supported by 03 and 07), (Paper 03 supported by 02 and 07), and (Paper 07 supported by 02 and 03). Only models ChatGPT-4o, 3.5 Sonnet, and 3 Opus were capable of processing these pdfs, as o1-preview and the remaining two Llama variants currently only input and output text, despite occasionally mentioning a file is ready for download. As each conversation contained two complex prompts, some specific tasks such as including original author numbers in quotations was not included when using ChatGPT-4o. 3.5 Sonnet was often limited to using short bullet points that lacked detail, while 3 Opus provided lengthy paragraphs but were less technical and convincing than ChatGPT-4o. Therefore, due to the complexity and length of single and triple document uploads, model generations may have been limited in hardware processing resources to address every aspect of intricate prompts.