So training data selection is crucial for machine learning success because obviously these machines learn from data. Actually currently there is this approach that is data centric AI where people focus more and more on well curating the data sets, which is a very labor intensive task. Rather than fine-tuning models because models change very fast. Recently there has been a huge development in machine learning models and algorithms. So lots of people want to focus a lot on the data and that makes a lot of sense because having well-working, well-done data can be an asset for years to come.