Unmodified LMMs and LLMs were accessed through the following no code frameworks, with generation times being obtained using a digital stop watch. Models such as ChatGPT-4o, 3.5 Sonnet, and 3 Opus utilized document retrieval ('plus sign' or 'paper clip' options) and text inputs, while o1-preview, L3.1-405B, and Herm-405B processed text inputs. Output chainings to create larger paper summaries were combined by the manuscript author. The author conducted experiments, analysis, and wrote the manuscript. ChatGPT-4o was primarily utilized as a research tool. 01) ChatGPT-4oS: OpenAI ChatGPT MacOS desktop chat client Version 1.2024.304 (1728081553) with Search (Globe option), (1730756937) memory off, Model = LMM . 02) PGPT-4o: Perplexity website chat interface was accessed through MacOS 14.5 (23F79) and Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64). Settings: AI model was selected as "GPT-4o", Model = LMM . 03) P3.5Sonnet: Perplexity website chat interface was accessed through MacOS 14.5 (23F79) and Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64). Settings: AI model was selected as "Claude 3.5 Sonnet", Model = LMM . 04) 3.5SA: Claude Computer Use was accessed through Docker desktop Version 4.35.1 (173168) Engine: 27.3.1 through MacOS 14.5 (23F79) using the following code in Docker terminal with an Anthropic key in for "$ANTHROPIC_API_KEY", Model = LMM Agent : % docker run -e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY -v $HOME/.anthropic:/home/computeruse/.anthropic -p 5900:5900 -p 8501:8501 -p 6080:6080 -p 8080:8080 -it ghcr.io/anthropics/anthropic-quickstarts:computer-use-demo-latest Within Docker Terminal, "Open in your browser to begin" was clicked to open a Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64) of the Claude Computer Use interface, according to . 05) 3.5 Sonnet: Claude website chat interface was accessed through MacOS 14.5 (23F79) and Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64), Model = LMM . 06) ChatGPT-4o: OpenAI ChatGPT MacOS desktop chat client Version 1.2024.304 (1728081553), (1730756937) memory off, Model = LMM . 07) 3 Opus: Claude website chat interface was accessed through MacOS 14.5 (23F79) and Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64), Model = LMM . 08) o1-preview: OpenAI ChatGPT MacOS desktop chat client Version 1.2024.304 (1728081553), (1730756937) memory off, Model = LLM . 09) L3.1-405B: Fireworks.ai website chat interface was accessed through MacOS 14.5 (23F79) and Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64). Settings: Max Tokens=4096, Temperature=1.0, Top P=1.0, Top K=50, Presence Penalty=0, Frequency Penalty=0, Model = LLM . 10) Herm-405B: Deepinfra.com website chat interface was accessed through MacOS 14.5 (23F79) and Google Chrome browser Version 129.0.6668.90 (Official Build) (arm64). Max Tokens=4096, Temperature=1.0, Top P=1.0, Top K=50, Presence Penalty=0, Frequency Penalty=0, Min P=0, Repetition Penalty=1, Model = LLM . Prompt Ia: Write a detailed report based on the document regarding how the interpretability and specific lactate production rate (Qlac) can be improved for Experiment 3 using a LLM. Explain the steps you took to arrive at your conclusions by citing selections of numerical data in quotations followed by new forecasted values (not percent increases), indicating whether a specific breakthrough is expected with the use of the LLM. [Paper 02 Attached] Prompt Ib: Write a detailed report based on the new attached documents regarding how the interpretability and specific lactate production rate (Qlac) can be improved for Experiment 3 using a LLM or other authors' methods. Explain the steps you took to arrive at your conclusions by identifying authors' names and citing selections of numerical data in quotations followed by new forecasted values (not percent increases), indicating whether a specific breakthrough is expected with the use of the LLM or other authors' methods. [Paper 03, 07 Attached] Prompt Ic: Write a detailed report based on the document regarding how mechanisms regulating the lactate shift and related metabolic control mechanisms important for productivity in CHO cells can be improved using a LLM. Explain the steps you took to arrive at your conclusions by citing selections of numerical data in quotations followed by new forecasted values (not percent increases), indicating whether a specific breakthrough is expected with the use of the LLM. [Paper 03 Attached] Prompt Id: Write a detailed report based on the new attached documents regarding how mechanisms regulating the lactate shift and related metabolic control mechanisms important for productivity in CHO cells can be improved using a LLM or other authors' methods. Explain the steps you took to arrive at your conclusions by identifying authors' names and citing selections of numerical data in quotations followed by new forecasted values (not percent increases), indicating whether a specific breakthrough is expected with the use of the LLM or other authors' methods. [Paper 02, 07 Attached] Prompt Ie: Write a detailed report based on the document regarding how MMK, OPLS, and NN models for predicting CHO cell growth, production, and metabolites can be improved using a LLM. Explain the steps you took to arrive at your conclusions by citing selections of numerical data in quotations followed by new forecasted values (not percent increases), indicating whether a specific breakthrough is expected with the use of the LLM. [Paper 07 Attached] Prompt If: Write a detailed report based on the new attached documents regarding how MMK, OPLS, and NN models for predicting CHO cell growth, production, and metabolites can be improved using a LLM or other authors' methods. Explain the steps you took to arrive at your conclusions by identifying authors' names and citing selections of numerical data in quotations followed by new forecasted values (not percent increases), indicating whether a specific breakthrough is expected with the use of the LLM or other authors' methods. [Paper 02, 03 Attached] Prompt IIa: Write a detailed report based on the document regarding how the authors desired certain extracellular metabolites or extracellular metabolite relationships were improved. Explain the steps you took to arrive at your conclusions by citing selections of numerical data in quotations. [Paper 06 Attached] (Obtained Once) Prompt IIb: Create a very large CHL-YN-IgG1 (B-08) rep1 .csv table for download based on the table provided and the report regarding how the authors desired certain extracellular metabolites or extracellular metabolite relationships were improved, but now using a LLM. Provide columns with original numerical values followed by new forecasted values (not percent increases), indicating in another column whether a specific breakthrough is expected with the use of the LLM. [Extracellular Table and Single IIa Summary Attached] 2 Prompts Single Conversation Prompt IIc: Create a very large revised CHL-YN-IgG1 (B-08) rep1 .csv table for download based on the new attached summaries regarding how the original authors desired certain extracellular metabolites or extracellular metabolite relationships that could be improved using a LLM or other authors' methods. Provide columns with original numerical values followed by new forecasted values (not percent increases), identifying authors' names in another column, and indicating whether a specific breakthrough is expected with the use of the LLM or other authors' methods. Prompt IIe: Create a very large CHL-YN-IgG1 (B-08) .csv table for download based on the table provided and the report regarding how the authors desired certain intracellular metabolites or intracellular metabolite relationships were improved, but now using a LLM. Provide columns with original numerical values followed by new forecasted values (not percent increases), indicating in another column whether a specific breakthrough is expected with the use of the LLM.