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/forefrontai_example.ipynb

@@ -4,8 +4,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# ForefrontAI LLM Example\n",
-    "This notebook goes over how to use Langchain with [ForefrontAI](https://www.forefront.ai/)."
+    "# ForefrontAI\n",
+    "\n",
+    "\n",
+    "The `Forefront` platform gives you the ability to fine-tune and use [open source large language models](https://docs.forefront.ai/forefront/master/models).\n",
+    "\n",
+    "This notebook goes over how to use Langchain with [ForefrontAI](https://www.forefront.ai/).\n"
    ]
   },
   {
@@ -40,7 +44,20 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "os.environ[\"FOREFRONTAI_API_KEY\"] = \"YOUR_KEY_HERE\""
+    "# get a new token: https://docs.forefront.ai/forefront/api-reference/authentication\n",
+    "\n",
+    "from getpass import getpass\n",
+    "\n",
+    "FOREFRONTAI_API_KEY = getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "os.environ[\"FOREFRONTAI_API_KEY\"] = FOREFRONTAI_API_KEY"
    ]
   },
   {
@@ -119,15 +136,22 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.9.12 ('palm')",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
    "name": "python",
-   "version": "3.9.12"
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
   },
-  "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
     "hash": "a0a0263b650d907a3bfe41c0f8d6a63a071b884df3cfdc1579f00cdc1aed6b03"
@@ -135,5 +159,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }