Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

I was told that we can use regular Python type hinting for files. But in the example:
<https://docs.flyte.org/projects/cookbook/en/latest/auto/case_studies/ml_training/mnist_classifier/pytorch_single_node_and_gpu.html> I see
```from flytekit.types.file import PythonPickledFile```
and in the example:
<https://docs.flyte.org/projects/cookbook/en/latest/auto/case_studies/ml_training/house_price_prediction/house_price_predictor.html> I see
```from flytekit.types.file import JoblibSerializedFile```
These are used to output the model state. Couldn’t we use regular Python type hints for these? May I know why `PythonPickedFile` and `JoblibSerializedFile` were used in the examples?

This is just metadata, this adds a format field to the information so that it’s easier for
The user to see it in the ui

Oh I see! The user can change it in the UI as per the requirement. Correct?