diff --git a/10_MultipleModels/00_llm_multiple_models_w_bedrock_litellm.ipynb b/10_MultipleModels/00_llm_multiple_models_w_bedrock_litellm.ipynb
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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Switch between multiple Bedrock Deployments\n",
+        "\n",
+        "## Introduction\n",
+        "\n",
+        "In this notebook, we will go over how to call multiple Bedrock models + instances using [LiteLLM](https://github.com/BerriAI/litellm).\n",
+        "\n",
+        "Bedrock provides support for:\n",
+        "\n",
+        "\n",
+        "*   Anthropic\n",
+        "*   Cohere\n",
+        "*   AI21\n",
+        "*   Amazon Titan\n",
+        "\n",
+        "\n",
+        "Each of these providers have different param names, prompt formats, etc. We will use LiteLLM to handle the translation for us."
+      ],
+      "metadata": {
+        "id": "yFs6uSIXXUYc"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "VFFJDVnYTtuD"
+      },
+      "outputs": [],
+      "source": [
+        "!pip install litellm boto3"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Switch Models\n",
+        "\n",
+        "LiteLLM handles the prompt formatting, param translation, etc. Letting you switch between Claude, Cohere, AI21 and Titan on Bedrock.[Docs](https://docs.litellm.ai/docs/providers/bedrock#passing-credentials-as-parameters---completion)"
+      ],
+      "metadata": {
+        "id": "TtGZTM5SUsYg"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import litellm\n",
+        "\n",
+        "print(litellm.bedrock_models)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1_4s32mBVG9A",
+        "outputId": "1eec15cb-4514-4e6c-daab-16a0a7b74fbc"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "['ai21.j2-mid-v1', 'ai21.j2-ultra-v1', 'amazon.titan-text-lite-v1', 'amazon.titan-text-express-v1', 'anthropic.claude-v1', 'anthropic.claude-v2', 'anthropic.claude-instant-v1', 'cohere.command-text-v14']\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import os\n",
+        "from litellm import completion\n",
+        "\n",
+        "os.environ[\"AWS_ACCESS_KEY_ID\"] = \"\"\n",
+        "os.environ[\"AWS_SECRET_ACCESS_KEY\"] = \"\"\n",
+        "os.environ[\"AWS_REGION_NAME\"] = \"\"\n",
+        "\n",
+        "for model in litellm.bedrock_models:\n",
+        "  response = completion(\n",
+        "              model=model,\n",
+        "              messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}])\n",
+        "  print(response)"
+      ],
+      "metadata": {
+        "id": "_65TH74JT-O2"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Switch Accounts / Regions\n",
+        "\n",
+        "You can also pass in your credentials as part of the `completion()` call, letting you switch between accounts / regions. [Docs](https://docs.litellm.ai/docs/providers/bedrock#passing-credentials-as-parameters---completion)"
+      ],
+      "metadata": {
+        "id": "8f9EAJMjVTEH"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "accounts = [{\n",
+        "    \"aws_access_key_id\": \"\",\n",
+        "    \"aws_secret_access_key\": \"\",\n",
+        "    \"aws_region_name\": \"\"\n",
+        "}, {\n",
+        "    \"aws_access_key_id\": \"\",\n",
+        "    \"aws_secret_access_key\": \"\",\n",
+        "    \"aws_region_name\": \"\"\n",
+        "}]\n",
+        "\n",
+        "for item in accounts:\n",
+        "  response = completion(\n",
+        "              model=\"anthropic.claude-instant-v1\",\n",
+        "              messages=[{ \"content\": \"Hello, how are you?\",\"role\": \"user\"}],\n",
+        "              **item)\n",
+        "\n",
+        "  print(response)"
+      ],
+      "metadata": {
+        "id": "yIYhzfccVWDM"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
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