diff --git a/tutorials/autotvm/tune_simple_template.py b/tutorials/autotvm/tune_simple_template.py
index dc1b2ce4a4fd..2e877b4cd3cc 100644
--- a/tutorials/autotvm/tune_simple_template.py
+++ b/tutorials/autotvm/tune_simple_template.py
@@ -32,6 +32,7 @@
 # Install dependencies
 # --------------------
 # To use autotvm package in TVM, we need to install some extra dependencies.
+# This step (installing xgboost) can be skipped as it doesn't need XGBoost
 # (change "3" to "2" if you use python2):
 #
 # .. code-block:: bash
@@ -294,7 +295,8 @@ def matmul(N, L, M, dtype):
     builder='local',
     runner=autotvm.LocalRunner(number=5))
 
-# begin tuning, log records to file `matmul.log`
+# Begin tuning with RandomTuner, log records to file `matmul.log`
+# You can use alternatives like XGBTuner.
 tuner = autotvm.tuner.RandomTuner(task)
 tuner.tune(n_trial=10,
            measure_option=measure_option,