Treating and deploying models involves much more than just running a command; it requires meticulous data preparation and multiple training rounds. Automation is crucial for streamlining the complex pipeline of data processing, training, and evaluation, which can otherwise become a time-consuming manual task. Drawing a parallel to oil production, the transformation of raw data into high-quality models demands efficient processes to ensure timely delivery to production.
