updated the description

docs/notebooks/autogen/autogen_llama_stack_integration.ipynb

@@ -10,18 +10,6 @@
     "\n",
     "This notebook demonstrates how to use **AutoGen (AG2)** with **Llama Stack** as the backend.\n",
     "\n",
-        "### What is AutoGen?\n",
-        "- Microsoft's framework for **conversational multi-agent** systems\n",
-        "- Emphasizes **chat-based** interactions between agents\n",
-        "- Built-in **code execution** and **human-in-the-loop**\n",
-        "- Great for **interactive problem-solving**\n",
-        "\n",
-        "### Why Llama Stack?\n",
-        "- **Unified backend** for any LLM (Ollama, Together, vLLM, etc.)\n",
-        "- **One integration point** instead of many\n",
-        "- **Production-ready** infrastructure\n",
-        "- **Open-source** and flexible\n",
-        "\n",
     "### Use Cases Covered:\n",
     "1. **Two-Agent Conversation** - UserProxy + Assistant solving a problem\n",
     "2. **Code Generation & Execution** - AutoGen generates and runs code\n",
@@ -691,8 +679,24 @@
   }
  ],
  "metadata": {
-    "orig_nbformat": 4
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
  },
  "nbformat": 4,
-  "nbformat_minor": 2
+ "nbformat_minor": 4
 }