Scalability Challenges

Tim discusses the intricacies of integrating text inputs into their model architecture, emphasizing the potential for using RNN encoders. However, scalability remains a significant hurdle, as the entire neural representation must fit efficiently on a GPU. Both Tim and Matt explore the complexities of pruning and dynamic graphs, hinting at promising avenues for future research.