Update aws notebooks (meta-llama#474)

Author: jeffxtang

recipes/llama_api_providers/examples_with_aws/Prompt_Engineering_with_Llama_2_On_Amazon_Bedrock.ipynb

@@ -7,6 +7,9 @@
    "source": [
     "# Prompt Engineering with Llama 2 - Using Amazon Bedrock + LangChain\n",
     "\n",
+    "Open this notebook in <a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/quickstart/Prompt_Engineering_with_Llama_2.ipynb\"><img data-canonical-src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" src=\"https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667\"></a>\n",
+    "\n",
+    "\n",
     "Prompt engineering is using natural language to produce a desired response from a large language model (LLM).\n",
     "\n",
     "This interactive guide covers prompt engineering & best practices with Llama 2.\n",