### Description

Replace the existing selects with multi-selects that allow you to filter multiple DAG run states and types at the same time, somewhat similar to my prototype:

![image](https://github.com/apache/airflow/assets/1842905/c4ec0793-1ccb-417d-989c-781997416f97)


### Use case/motivation

I'm not sure if it is just me, but sometimes I wish I was able to show multiple DAG run states, especially `running` and `failed`, at the same time. 
This would be especially helpful for busy DAGs on which I want to clear a few failed runs. Without the multi-select, if I switch from `failed` to `running` DAG runs, I need to orient myself again to find the run I just cleared (assuming there are lots of other running DAG runs). _With_ the multi-select, the DAG run I just cleared stays in the same spot and I can check the logs, while clearing some other failed runs.

I'm not sure we need a multi-select for DAG run types as well. I'd tend to say no, but maybe someone else has a use-case for that.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

TaskInstance._try_number,
            func.min(TaskInstanceNote.content).label("note"),
            func.count(func.coalesce(TaskInstance.state, sqla.literal("no_status"))).label("state_count"),
            func.min(TaskInstance.queued_dttm).label("queued_dttm"),
            func.min(TaskInstance.start_date).label("start_date"),
            func.max(TaskInstance.end_date).label("end_date"),
        )
        .join(TaskInstance.task_instance_note, isouter=True)
        .where(
            TaskInstance.dag_id == dag.dag_id,
            TaskInstance.run_id.in_([dag_run.run_id for dag_run in dag_runs]),
        )
        .group_by(TaskInstance.task_id, TaskInstance.run_id, TaskInstance.state, TaskInstance._try_number)
        .order_by(TaskInstance.task_id, TaskInstance.run_id)
    )
    grouped_tis: dict[str, list[TaskInstance]] = collections.defaultdict(
        list,
        ((task_id, list(tis)) for task_id, tis in itertools.groupby(query, key=lambda ti: ti.task_id)),
    )
    @cache
    def get_task_group_children_getter() -> operator.methodcaller:
        sort_order = conf.get("webserver", "grid_view_sorting_order", fallback="topological")
        if sort_order == "topological":
            return operator.methodcaller("topological_sort")
        if sort_order == "hierarchical_alphabetical":
            return operator.methodcaller("hierarchical_alphabetical_sort")
        raise AirflowConfigException(f"Unsupported grid_view_sorting_order: {sort_order}")
    def task_group_to_grid(item: Operator | TaskGroup) -> dict[str, Any]:
        if not isinstance(item, TaskGroup):
            def _mapped_summary(ti_summaries: list[TaskInstance]) -> Iterator[dict[str, Any]]: