Updating Model List to include codellama 70b and llama guard models

Quick update to make sure we include the codellama 70b models and llama guard model

examples/examples_with_aws/Prompt_Engineering_with_Llama_2_On_Amazon_Bedrock.ipynb

@@ -73,24 +73,27 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Code Llama is a code-focused LLM built on top of Llama 2 also available in various sizes and finetunes:"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Code Llama\n",
+    "#### Code Llama - Code Llama is a code-focused LLM built on top of Llama 2 also available in various sizes and finetunes:\n",
     "1. `codellama-7b` - code fine-tuned 7 billion parameter model\n",
     "1. `codellama-13b` - code fine-tuned 13 billion parameter model\n",
     "1. `codellama-34b` - code fine-tuned 34 billion parameter model\n",
+    "1. `codellama-70b` - code fine-tuned 70 billion parameter model\n",
     "1. `codellama-7b-instruct` - code & instruct fine-tuned 7 billion parameter model\n",
     "2. `codellama-13b-instruct` - code & instruct fine-tuned 13 billion parameter model\n",
     "3. `codellama-34b-instruct` - code & instruct fine-tuned 34 billion parameter model\n",
+    "3. `codellama-70b-instruct` - code & instruct fine-tuned 70 billion parameter model\n",
     "1. `codellama-7b-python` - Python fine-tuned 7 billion parameter model\n",
     "2. `codellama-13b-python` - Python fine-tuned 13 billion parameter model\n",
-    "3. `codellama-34b-python` - Python fine-tuned 34 billion parameter model"
+    "3. `codellama-34b-python` - Python fine-tuned 34 billion parameter model\n",
+    "3. `codellama-70b-python` - Python fine-tuned 70 billion parameter model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Llama Guard\n",
+    "1. `llama-guard-7b` - input and output guardrails model"
    ]
   },
   {