-4 hrs to set up model training
Configuring environments, installing dependencies, and setting up training scripts can be time-consuming.
-6 hrs preparing training data
Cleaning, formatting, and organizing data for model training is a crucial but often lengthy process.
-4 hrs to handle API integration
Integrating with various APIs for data sources or model deployment can be complex and time-consuming.
-2 hrs for model evaluation
Setting up proper evaluation metrics and procedures is essential but can be tricky to get right.
-3 hrs for model deployment
Deploying models to production environments often involves many steps and potential pitfalls.
-endless hrs scaling infrastructure
As your models grow, scaling infrastructure to handle increased load can become an endless task.
