Synthetic data

One of the most expensive and time consuming parts of the MLOps pipeline is the construction of datasets for machine learning training. This is usually performed by human labellers at high cost. The promise of synthetic data is that this data can be constructed by automatic processes. There are various methods for doing so - the most promising of which is to use other machine learning models to construct the data.