Run GPU jobs from Airflow with Modal

This post introduces two methods for integrating Modal with Airflow: calling deployed Modal functions using `Function.from_name` and `lookup`, and executing arbitrary Python code within Modal Sandboxes via a custom `ModalOperator`. The `ModalOperator` serializes Python functions and executes them in a sandbox, allowing for dynamic configuration of resources like GPUs. It also demonstrates passing data between Airflow tasks and Modal functions using Modal Dicts.