Update examples/ray_plugin/ray_plugin/ray_example.py

Co-authored-by: David Espejo <[email protected]>
Signed-off-by: Jason Parraga <[email protected]>

examples/ray_plugin/ray_plugin/ray_example.py

@@ -108,7 +108,7 @@ def ray_workflow(n: int) -> typing.List[int]:
 # ## Ray Head & Worker Node Customization
 #
 # By default, the Ray plugin will base much of the configuration for the Ray head and worker node pods in the Ray
-# cluster based on the Ray job submitter pod which is derived from the task decorator. In some cases it is useful to
+# based on the Ray job submitter pod which is derived from the task decorator. In some cases it is useful to
 # customize the Ray head and worker node pods and the Ray plugin supports this with optional `k8s_pod` arguments for
 # both the {py:class}`~flytekitplugins.ray.HeadNodeConfig` and {py:class}`~flytekitplugins.ray.WorkerNodeConfig` classes.
 #