update for grammar fixes

tutorials/image_moderation.ipynb

@@ -13,11 +13,9 @@
     "## Content Moderation\n",
     "In today's digital age, the internet is a ubiquitous part of our daily lives. However, with the vast amount of information available online, ensuring a safe and positive environment for users has become a significant challenge. This is where content moderation comes into play.\n",
     "\n",
-    "Specifically, image moderation is the process of detecting and filtering out inappropriate or harmful images, This is important for maintaining a safe and positive environment for users, especially in applications like social media and online marketplaces.\n",
+    "Specifically, image moderation is the process of detecting and filtering out inappropriate or harmful images. This is important for maintaining a safe and positive environment for users, especially in applications like online marketplaces, community forums, and social media in general.\n",
     "\n",
-    "The Llama Guard model we'll use is an advanced content moderation tool designed to assess user messages, or text, for harmful content. By analyzing text input, Llama Guard  designed to assess user messages for harmful content. By analyzing incoming messages, the model identifies and classifies harmful content across 14 categories, including hate speech, threats, and misinformation. \n",
-    "\n",
-    "The LlaVA model is a state-of-the-art image understanding model that can answer questions about an image, describe its content, and perform Optical Character Recognition (OCR) to extract text from images.\n",
+    "In this tutorial, we will use the LlaVA model to generate a description of a given image and use the generated description as input for the Llama Guard model to check for conteny safety. LlaVA is a state-of-the-art image understanding model that can answer questions about an image, describe its content, and perform Optical Character Recognition (OCR) to extract text from images. Llama Guard is an advanced content moderation tool designed to assess user messages, or text, for harmful content across 14 categories, including hate speech, threats, and misinformation.\n",
     "\n",
     "Let's dive into the code and learn how to combine the capabilities of Llama Guard and LlaVA to moderate images in real-time!"
    ]
@@ -35,8 +33,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Step 2: Install and ImportRequired Libraries\n",
-    "Let's install and import the libraries we'll need to interact with the Groq API and build our image moderation application."
+    "## Step 2: Install and Import Required Libraries\n",
+    "Let's install and import the libraries we'll need to interact with Groq API and build our image moderation application."
    ]
   },
   {