Merge pull request #3 from octoml/sevin/update_doc

community: update OctoAI LLM doc

docs/docs/integrations/llms/octoai.ipynb

@@ -6,22 +6,17 @@
    "source": [
     "# OctoAI\n",
     "\n",
-    ">[OctoML](https://docs.octoai.cloud/docs) is a service with efficient compute. It enables users to integrate their choice of AI models into applications. The `OctoAI` compute service helps you run, tune, and scale AI applications.\n",
+    "[OctoAI](https://docs.octoai.cloud/docs) offers easy access to efficient compute and enables users to integrate their choice of AI models into applications. The `OctoAI` compute service helps you run, tune, and scale AI applications easily.\n",
     "\n",
     "This example goes over how to use LangChain to interact with `OctoAI` [LLM endpoints](https://octoai.cloud/templates)\n",
     "\n",
     "## Setup\n",
     "\n",
-    "To run our example app, there are four simple steps to take:\n",
+    "To run our example app, there are two simple steps to take:\n",
     "\n",
-    "1. Clone the MPT-7B demo template to your OctoAI account by visiting <https://octoai.cloud/templates/mpt-7b-demo> then clicking \"Clone Template.\" \n",
-    "   1. If you want to use a different LLM model, you can also containerize the model and make a custom OctoAI endpoint yourself, by following [Build a Container from Python](doc:create-custom-endpoints-from-python-code) and [Create a Custom Endpoint from a Container](doc:create-custom-endpoints-from-a-container)\n",
+    "1. Get an API Token from [your OctoAI account page](https://octoai.cloud/settings).\n",
     "   \n",
-    "2. Paste your Endpoint URL in the code cell below\n",
-    "\n",
-    "3. Get an API Token from [your OctoAI account page](https://octoai.cloud/settings).\n",
-    "   \n",
-    "4. Paste your API key in in the code cell below"
+    "2. Paste your API key in in the code cell below\n"
    ]
   },
   {
@@ -36,6 +31,15 @@
     "os.environ[\"ENDPOINT_URL\"] = \"https://text.octoai.run/v1/chat/completions\""
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "If you want to use a different LLM model, you can containerize the model and make a custom OctoAI endpoint yourself, by following [Build a Container from Python](doc:create-custom-endpoints-from-python-code) and [Create a Custom Endpoint from a Container](doc:create-custom-endpoints-from-a-container) and then update your Endpoint URL in the code cell above."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 7,