remove manual model registration section and reorder sections

Author: novaturient95

sdk/python/foundation-models/system/reinforcement-learning/reinforcement-learning.ipynb

@@ -277,45 +277,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">📋Section 4. Creating Data Assets from Pipeline Output</h3>\n",
-        "</div>"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "<p>Follow these steps to convert your pipeline outputs into re-usable data assets:</p>\n",
-        "\n",
-        "<ol style=\"color: #2c3e50; line-height: 1.8;\">\n",
-        "<li><strong style=\"color: #9b59b6;\">Access Pipeline Overview:</strong> Double-click on the completed pipeline component to view the pipeline overview.</li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Locate Output Asset:</strong> In the outputs section, find the data asset named <code style=\"background: #f8f9fa; padding: 2px 6px; border-radius: 3px;\">model_output</code></li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Browse Datastore:</strong> Click <span style=\"background: #2e53cc63; color: white; padding: 2px 8px; border-radius: 3px;\">View in datastores browse</span> in the bottom left</li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Navigate Structure:</strong> Explore the tree structure of all folders in the output directory</li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Create Asset:</strong> Navigate to the <code style=\"background: #f8f9fa; padding: 2px 6px; border-radius: 3px;\">model_output</code> folder, open the context menu, and select <span style=\"background: #2e53cc63; color: white; padding: 2px 8px; border-radius: 3px;\">Create a data asset</span></li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Configure Asset:</strong> Enter a name for the output asset in the modal window</li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Complete Creation:</strong> Click the <span style=\"background: #2e53cc63; color: white; padding: 2px 8px; border-radius: 3px;\">Create</span> button</li>\n",
-        "\n",
-        "<li><strong style=\"color: #9b59b6;\">Verify Access:</strong> The new data asset will now be visible in the data section of Azure ML Studio</li>\n",
-        "</ol>\n",
-        "\n",
-        "<p><em style=\"color: #7f8c8d;\">💡 These data assets can be reused across multiple workflows and experiments.</em></p>\n"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## <span style=\"font-size:0.8em;\"> </span>\n",
-        "\n",
-        "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">📊Section 5. Compare Model Performance across Base Model vs GRPO vs Reinforce++ </h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">📊Section 4. Compare Model Performance across Base Model vs GRPO vs Reinforce++ </h3>\n",
         "</div>"
       ]
     },
@@ -342,6 +304,13 @@
         "<p><em>💡 The evaluation will help identify which RL method produces the most effective model for financial reasoning tasks.</em></p>"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "<p> We will now submit evaluation job, with grpo and rlpp model outputs </p>"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -390,7 +359,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "<p> Fetch metrics from evalution run </p>"
+        "<p> Now, lets fetch metrics from evalution run inorder to show comparison</p>"
       ]
     },
     {
@@ -484,7 +453,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">🧩Section 6. Create Draft Model for Speculative Decoding</h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">🧩Section 5. Create Draft Model for Speculative Decoding</h3>\n",
         "</div>"
       ]
     },
@@ -533,7 +502,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">🔄Section 7. Prepare Combined Model for Deployment</h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">🔄Section 6. Prepare Combined Model for Deployment</h3>\n",
         "</div>\n",
         "\n"
       ]
@@ -587,7 +556,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">🚀Section 8. Deploy Speculative Decoding Endpoint</h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">🚀Section 7. Deploy Speculative Decoding Endpoint</h3>\n",
         "</div>\n",
         "\n"
       ]
@@ -627,7 +596,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">🚀Section 9. Deploy Base Model Endpoint for Comparison</h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">🚀Section 8. Deploy Base Model Endpoint for Comparison</h3>\n",
         "</div>\n",
         "\n"
       ]
@@ -669,7 +638,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">🧪Section 10. Test Deployment</h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">🧪Section 9. Test Deployment</h3>\n",
         "</div>"
       ]
     },
@@ -704,7 +673,7 @@
         "## <span style=\"font-size:0.8em;\"> </span>\n",
         "\n",
         "<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; border-radius: 10px; margin: 20px 0;\">\n",
-        "    <h3 style=\"margin: 0; text-align: center;\">📊Section 11. Performance Evaluation Pipeline</h3>\n",
+        "    <h3 style=\"margin: 0; text-align: center;\">📊Section 10. Performance Evaluation Pipeline</h3>\n",
         "</div>"
       ]
     },