[DOCS] - Add a welcome/introduction page to the documentation

nbs/docs/misc/1_introduction.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Welcome to TimeGPT Documentation\n",
+    "\n",
+    "TimeGPT is the first foundation model for time series forecasting created by Nixtla.\n",
+    "\n",
+    "At Nixtla, we believe the future is for everyone. We are building the best ecosystem for time series forecasting with a variety of open-source and commercial solutions.\n",
+    "\n",
+    "With TimeGPT, you can forecast and perform anomaly detection on any series with a simple function call.\n",
+    "\n",
+    "TimeGPT's capabilities include:\n",
+    "- Forecasting\n",
+    "    - Univariate forecasting\n",
+    "    - Multivariate forecasting with exogenous variables\n",
+    "    - Generating prediction intervals\n",
+    "    - Including holidays and special dates\n",
+    "    - Fine-tuning with user-specified loss functions\n",
+    "    - Long-horizon forecasting\n",
+    "    - and much more\n",
+    "- Anomaly detection\n",
+    "    - Anomaly detection with tuned sensitivity\n",
+    "    - Anomaly detection with exogenous variables\n",
+    "    - Feature important in anomaly detection\n",
+    "    - and much more"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Explore TimeGPT API"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The capabilties section highlight all of the model's functionalities with short code snippets for easy and quick experimentation.\n",
+    "\n",
+    "For more detailed tutorials, check our in-depth guides covering all the steps required to use TimeGPT to its full potential.\n",
+    "\n",
+    "Make sure to also check our uses cases to see TimeGPT applied to real-life scenarios."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}