diff --git a/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/models.ipynb b/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/models.ipynb
index 917b87799..b07873485 100644
--- a/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/models.ipynb
+++ b/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/models.ipynb
@@ -28,7 +28,7 @@
             },
             "outputs": [],
             "source": [
-                "pip install 'autogen-ext[openai]==0.4.0.dev9'"
+                "pip install 'autogen-ext[openai]==0.4.0.dev10'"
             ]
         },
         {
@@ -108,7 +108,7 @@
             },
             "outputs": [],
             "source": [
-                "pip install 'autogen-ext[openai,azure]==0.4.0.dev9'"
+                "pip install 'autogen-ext[openai,azure]==0.4.0.dev10'"
             ]
         },
         {
diff --git a/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/teams.ipynb b/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/teams.ipynb
index 3f8ece4bf..7f4ec9c08 100644
--- a/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/teams.ipynb
+++ b/python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/tutorial/teams.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "In this section you'll learn how to create a _multi-agent team_ (or simply team) using AutoGen. A team is a group of agents that work together to achieve a common goal.\n",
     "\n",
-    "We'll first show you hot create and run a team. We'll then explain how to observe the team's behavior, which is crucial for debugging and understanding the team's performance, and common operations to control the team's behavior.\n",
+    "We'll first show you how to create and run a team. We'll then explain how to observe the team's behavior, which is crucial for debugging and understanding the team's performance, and common operations to control the team's behavior.\n",
     "\n",
     "We'll start by focusing on a simple team with consisting of a single agent (the baseline case) and use a round robin strategy to select the agent to act. We'll then show how to create a team with multiple agents and how to implement a more sophisticated strategy to select the agent to act."
    ]
@@ -756,7 +756,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.6"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,