diff --git a/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb b/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb
index ac6d2f9..1730350 100644
--- a/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb
+++ b/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb
@@ -1,18 +1,16 @@
 {
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-      "attachments": {},
       "cell_type": "markdown",
       "metadata": {
-        "colab_type": "text",
-        "id": "view-in-github"
+        "id": "view-in-github",
+        "colab_type": "text"
       },
       "source": [
         "<a href=\"https://colab.research.google.com/github/udlbook/udlbook/blob/main/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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       "cell_type": "markdown",
       "metadata": {
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@@ -43,7 +41,6 @@
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@@ -79,7 +76,6 @@
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@@ -145,7 +141,6 @@
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@@ -223,7 +218,6 @@
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       "cell_type": "markdown",
       "metadata": {
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@@ -254,7 +248,6 @@
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       "metadata": {
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@@ -281,7 +274,7 @@
         "# We can't integrate this function in closed form\n",
         "# So let's approximate it as a sum over the z values (z = np.arange(-3,3,0.01))\n",
         "# You will need the functions get_likelihood() and get_prior()\n",
-        "# To make this a valid probability distribution, you need to divide\n",
+        "# To make this a valid probability distribution, you need to multiply\n",
         "# By the z-increment (0.01)\n",
         "# Replace this line\n",
         "pr_x1_x2 = np.zeros_like(x1_mesh)\n",
@@ -292,7 +285,6 @@
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     },
     {
-      "attachments": {},
       "cell_type": "markdown",
       "metadata": {
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@@ -320,7 +312,6 @@
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       "metadata": {
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@@ -388,9 +379,8 @@
   ],
   "metadata": {
     "colab": {
-      "authorship_tag": "ABX9TyOSEQVqxE5KrXmsZVh9M3gq",
-      "include_colab_link": true,
-      "provenance": []
+      "provenance": [],
+      "include_colab_link": true
     },
     "kernelspec": {
       "display_name": "Python 3",
@@ -402,4 +392,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}
\ No newline at end of file