"How can monoclonal antibody production numerical data in this article be improved through the incorporation of Large Language Model integrated problem solving(reinforcement learning, bayesian optimization, etc.)? Identify the selections of numerical data from the article in quotations and also provide updated numerical data, not percent increases, that LLMs will yield based on speed or performance." Report on Monoclonal Antibody Production Improvements Utilizing Large Language Models, This report presents numerical data from six key publications on monoclonal antibody (mAb) production. It cites the original numerical values provided by the authors and introduces forecasted numerical improvements achievable through the integration of Large Language Model (LLM) techniques, such as reinforcement learning and Bayesian optimization. Each section references the respective authors and their contributions. -Forecasted Increase: From 55 hours to 80 hours of continuous steady-state operation without significant deviations.