[visarga]

You have to work for a long time with a whole team on such a model. It adds up. In my experience there is a lot of work - data pipeline, labeling and data quality, the training, evaluations, deployment and making the deployed model efficient. And then there is also bias analysis, collecting failure cases and iterating on the data engine, and trivial things like measuring usage and billing.