svetakvsundhar commented on code in PR #27305:
URL: https://github.com/apache/beam/pull/27305#discussion_r1246882852


##########
examples/notebooks/beam-ml/run_inference_multi_model.ipynb:
##########
@@ -65,8 +64,8 @@
     {
       "cell_type": "markdown",
       "source": [
-        "A single machine learning model might not be the right solution for 
your task. Often, machine learning model tasks involve aggregating mutliple 
models together to produce one optimal predictive model and to boost 
performance. \n",
-        " \n",
+        "A single machine learning model might not be the right solution for 
your task. Often, machine learning model tasks involve aggregating mutliple 
models together to produce one optimal predictive model and to boost 
performance.\n",

Review Comment:
   This intro is a bit detailed. Can we add a high level sentence setting the 
context; something like "When performing complex tasks like image captioning, 
using a single ML model may not be the best solution".



##########
examples/notebooks/beam-ml/run_inference_multi_model.ipynb:
##########
@@ -65,8 +64,8 @@
     {
       "cell_type": "markdown",
       "source": [
-        "A single machine learning model might not be the right solution for 
your task. Often, machine learning model tasks involve aggregating mutliple 
models together to produce one optimal predictive model and to boost 
performance. \n",
-        " \n",
+        "A single machine learning model might not be the right solution for 
your task. Often, machine learning model tasks involve aggregating mutliple 
models together to produce one optimal predictive model and to boost 
performance.\n",
+        "\n",
         "\n",
         "This notebook shows how to implement a cascade model in Apache Beam 
using the [RunInference 
API](https://beam.apache.org/documentation/sdks/python-machine-learning/). The 
RunInference API enables you to run your Beam transforms as part of your 
pipeline for optimal machine learning inference.\n",

Review Comment:
   Can we link to 
https://beam.apache.org/documentation/sdks/python-machine-learning/#why-use-the-runinference-api?



##########
examples/notebooks/beam-ml/run_inference_multi_model.ipynb:
##########
@@ -303,15 +268,15 @@
           "base_uri": "https://localhost:8080/";
         },
         "id": "Ud4sUXV2x8LO",
-        "outputId": "9e12ea04-a347-426f-8145-280a5676e78b"
+        "outputId": "cc814ff8-d424-4880-e006-56803e0508aa"
       },
       "execution_count": 2,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Error: Failed to call git rev-parse --git-dir --show-toplevel: 
\"fatal: not a git repository (or any of the parent directories): .git\\n\"\n",
+            "Error: Failed to call git rev-parse --git-dir: exit status 128 
\n",

Review Comment:
   nit: add that seeing an error here is normal?



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