diff --git a/cuFOLIO_portfolio_optimization/CVaR/01_optimization_with_cufolio.ipynb b/cuFOLIO_portfolio_optimization/CVaR/01_optimization_with_cufolio.ipynb
index 33ed749..2b9fc4c 100644
--- a/cuFOLIO_portfolio_optimization/CVaR/01_optimization_with_cufolio.ipynb
+++ b/cuFOLIO_portfolio_optimization/CVaR/01_optimization_with_cufolio.ipynb
@@ -40,10 +40,10 @@
     "# If dependencies are already installed, you can comment out or skip this cell.\n",
     "\n",
     "# Install cuOpt (if not already installed)\n",
-    "#!pip install --upgrade --user --extra-index-url https://pypi.nvidia.com -q cuopt-cu12\n",
+    "#!pip install --upgrade --user --extra-index-url https://pypi.nvidia.com -q cuopt-cu12 \n",
     "\n",
     "# Install other dependencies (if not already installed)\n",
-    "#!pip install --user --extra-index-url https://pypi.nvidia.com -q \"numpy>=1.24.4\" \"pandas>=2.2.1\" \"cvxpy>=1.6.5\" \"scipy==1.15.2\" \"scikit-learn==1.6.1\" \"msgpack>=1.1.0\" \"cuml-cu12==25.4.*\" \"seaborn>=0.13.2\" bin/cufolio-25.8-py3-none-any.whl"
+    "!pip install --user --pre --extra-index-url https://pypi.nvidia.com -q \"numpy>=1.24.4\" \"pandas>=2.2.1\" \"cvxpy>=1.6.5\" \"scipy==1.15.2\" \"scikit-learn==1.6.1\" \"msgpack>=1.1.0\" \"cuml-cu12\" \"seaborn>=0.13.2\" bin/cufolio-25.8-py3-none-any.whl"
    ]
   },
   {
diff --git a/cuFOLIO_portfolio_optimization/CVaR/02_backtesting.ipynb b/cuFOLIO_portfolio_optimization/CVaR/02_backtesting.ipynb
index 2719d20..65ff234 100644
--- a/cuFOLIO_portfolio_optimization/CVaR/02_backtesting.ipynb
+++ b/cuFOLIO_portfolio_optimization/CVaR/02_backtesting.ipynb
@@ -29,6 +29,24 @@
     "Before diving into portfolio optimization and backtesting, we need to import the necessary libraries."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "758fb7e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install dependencies\n",
+    "# This cell only needs to be run once, typically after setting up the environment.\n",
+    "# If dependencies are already installed, you can comment out or skip this cell.\n",
+    "\n",
+    "# Install cuOpt (if not already installed)\n",
+    "#!pip install --upgrade --user --extra-index-url https://pypi.nvidia.com -q cuopt-cu12 \n",
+    "\n",
+    "# Install other dependencies (if not already installed)\n",
+    "!pip install --user --pre --extra-index-url https://pypi.nvidia.com -q \"numpy>=1.24.4\" \"pandas>=2.2.1\" \"cvxpy>=1.6.5\" \"scipy==1.15.2\" \"scikit-learn==1.6.1\" \"msgpack>=1.1.0\" \"cuml-cu12\" \"seaborn>=0.13.2\" bin/cufolio-25.8-py3-none-any.whl"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
diff --git a/cuFOLIO_portfolio_optimization/CVaR/03_advanced_topics.ipynb b/cuFOLIO_portfolio_optimization/CVaR/03_advanced_topics.ipynb
index b510875..544f565 100644
--- a/cuFOLIO_portfolio_optimization/CVaR/03_advanced_topics.ipynb
+++ b/cuFOLIO_portfolio_optimization/CVaR/03_advanced_topics.ipynb
@@ -23,6 +23,34 @@
     "    * Using **GPU-accelerated optimization** for high-efficiency computations."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "bfd0e561",
+   "metadata": {},
+   "source": [
+    "#### **Importing Required Libraries & Initial Setup**\n",
+    "\n",
+    "Before diving into portfolio optimization, we need to import the necessary libraries and perform initial setup if required."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "24d01808",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install dependencies\n",
+    "# This cell only needs to be run once, typically after setting up the environment.\n",
+    "# If dependencies are already installed, you can comment out or skip this cell.\n",
+    "\n",
+    "# Install cuOpt (if not already installed)\n",
+    "#!pip install --upgrade --user --extra-index-url https://pypi.nvidia.com -q cuopt-cu12 \n",
+    "\n",
+    "# Install other dependencies (if not already installed)\n",
+    "!pip install --pre --user --extra-index-url https://pypi.nvidia.com -q \"numpy>=1.24.4\" \"pandas>=2.2.1\" \"cvxpy>=1.6.5\" \"scipy==1.15.2\" \"scikit-learn==1.6.1\" \"msgpack>=1.1.0\" \"cuml-cu12\" \"seaborn>=0.13.2\" bin/cufolio-25.8-py3-none-any.whl\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,