Update graduated AIR acceptance paths

Author: caroline-db

acceptance/air/convert-to-dabs/output.txt

@@ -103,7 +103,7 @@ job and its uploaded files with:
   [CLI] bundle destroy
 
 === convert a B300 run using the current SDK
->>> [CLI] experimental air convert-to-dabs b300.yaml --output-dir generated-b300
+>>> [CLI] air convert-to-dabs b300.yaml --output-dir generated-b300
 Wrote a Databricks Asset Bundle to generated-b300:
   databricks.yml
   generated_artifacts/training_config.yaml
@@ -169,7 +169,7 @@ Workspace:
 Found 1 warning
 
 === databricks_ai versions use a base environment
->>> [CLI] experimental air convert-to-dabs databricks-ai.yaml --force
+>>> [CLI] air convert-to-dabs databricks-ai.yaml --force
 Wrote a Databricks Asset Bundle to .:
   databricks.yml
   generated_artifacts/training_config.yaml

acceptance/air/run-submit/output.txt

@@ -79,14 +79,14 @@ Stream logs after submission using:
 }
 
 === submit a B300 workload with AI Runtime 6
->>> [CLI] experimental air run -f b300.yaml
+>>> [CLI] air run -f b300.yaml
 Submitting experiment: b300-submit-smoke
 Submitted workload with Job Run ID: 555
 View job run at: [DATABRICKS_URL]/jobs/runs/555
 
 Tip: use --watch when submitting a run to stream logs to your terminal.
 Stream logs after submission using:
-  databricks experimental air logs 555
+  databricks air logs 555
 
 === the B300 accelerator and runtime reach the submit payload
 >>> print_requests.py //api/2.2/jobs/runs/submit

acceptance/air/run-submit/script

@@ -17,7 +17,7 @@ title "the ai_runtime_task and additive job permission grants"
 trace print_requests.py --get //api/2.2/jobs/runs/submit //api/2.2/jobs/runs/get //api/2.0/permissions //api/2.0/mlflow --sort --unique
 
 title "submit a B300 workload with AI Runtime 6"
-trace $CLI experimental air run -f b300.yaml
+trace $CLI air run -f b300.yaml
 
 title "the B300 accelerator and runtime reach the submit payload"
 trace print_requests.py //api/2.2/jobs/runs/submit