Restyled

content/docs/command-reference/dag.md

@@ -20,9 +20,9 @@ A data pipeline, in general, is a series of data processing
 input and produce an <abbr>output</abbr>). A pipeline may produce intermediate
 data, and has a final result.
 
-Data processing or ML pipelines typically start with large raw datasets,
-include intermediate featurization and training stages, and produce a final
-model, as well as accuracy [metrics](/doc/command-reference/metrics).
+Data processing or ML pipelines typically start with large raw datasets, include
+intermediate featurization and training stages, and produce a final model, as
+well as accuracy [metrics](/doc/command-reference/metrics).
 
 In DVC, pipeline stages and commands, their data I/O, interdependencies, and
 results (intermediate or final) are specified in `dvc.yaml`, which can be