The document summarizes advancements in using neural network algorithms for NMR predictions compared to traditional HOSE code algorithms. It finds that while HOSE code predictions currently outperform neural networks, neural networks offer significant speed advantages and were shown to improve prediction accuracy over previous versions. Future versions aim to integrate neural networks and HOSE code in a hybrid approach to gain the benefits of both methods.