There are a few parameters we should consider exposing to end users in order to enable them to improve the quality of their models' outputs

This list is not exhaustive to the follwing:
--num-examples in lab generate to allow users to dictate how many of their provided examples are used to generate synthetic data

--learning-rate and --batch-size to influence how the model trains in lab train

any others folks can think of