updated langchain/docs/modules/models/llms/integrations/ notebooks (#3041)

- Updated `langchain/docs/modules/models/llms/integrations/` notebooks:
added links to the original sites, the install information, etc.
- Added the `nlpcloud` notebook.
- Removed "Example" from Titles of some notebooks, so all notebook
titles are consistent.

docs/modules/models/llms/integrations/sagemaker.ipynb

@@ -6,22 +6,56 @@
    "source": [
     "# SageMakerEndpoint\n",
     "\n",
-    "This notebooks goes over how to use an LLM hosted on a SageMaker endpoint."
+    "[Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a system that can build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.\n",
+    "\n",
+    "This notebooks goes over how to use an LLM hosted on a `SageMaker endpoint`."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "!pip3 install langchain boto3"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
+   "source": [
+    "## Set up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You have to set up following required parameters of the `SagemakerEndpoint` call:\n",
+    "- `endpoint_name`: The name of the endpoint from the deployed Sagemaker model.\n",
+    "    Must be unique within an AWS Region.\n",
+    "- `credentials_profile_name`: The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which\n",
+    "    has either access keys or role information specified.\n",
+    "    If not specified, the default credential profile or, if on an EC2 instance,\n",
+    "    credentials from IMDS will be used.\n",
+    "    See: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from langchain.docstore.document import Document"
@@ -29,8 +63,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "example_doc_1 = \"\"\"\n",
@@ -49,7 +85,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from typing import Dict\n",
@@ -118,7 +156,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.10.6"
   },
   "vscode": {
    "interpreter": {
@@ -127,5 +165,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }