fix broken links and image

nbs/docs/getting-started/7_why_timegpt.ipynb

@@ -84,14 +84,14 @@
    "source": [
     "# Table of Contents\n",
     "\n",
-    "1. [Data Introduction](#data-introduction)\n",
-    "2. [Model Fitting](#model-fitting-timegpt-arima-lgbregressor-n-hits)\n",
-    "    1. [Fitting Time GPT](#timegpt)\n",
-    "    2. [Fitting ARIMA](#classical-models-arima)\n",
-    "    3. [Fitting Light GBM](#machine-learning-models-lgbmregressor)\n",
-    "    4. [Fitting NHITS](#n-hits)\n",
-    "3. [Results and Evaluation](#performance-comparison-and-results)\n",
-    "4. [Conclusion](#conclusion)"
+    "1. [Data Introduction](#1-data-introduction)\n",
+    "2. [Model Fitting](#2-model-fitting-timegpt-arima-lightgbm-n-hits)\n",
+    "    1. [Fitting TimeGPT](#21-timegpt)\n",
+    "    2. [Fitting ARIMA](#22-classical-models-arima)\n",
+    "    3. [Fitting Light GBM](#23-machine-learning-models-lightgbm)\n",
+    "    4. [Fitting NHITS](#24-n-hits)\n",
+    "3. [Results and Evaluation](#3-performance-comparison-and-results)\n",
+    "4. [Conclusion](#4-conclusion)"
    ]
   },
   {
@@ -775,7 +775,7 @@
     "#### Benchmark Results\n",
     "For a more comprehensive dive into model accuracy and performance, explore our [Time Series Model Arena](https://github.com/Nixtla/nixtla/tree/main/experiments/foundation-time-series-arena)! TimeGPT continues to lead the pack with exceptional performance across benchmarks! 🌟\n",
     "\n",
-    "![image](https://github.com/Nixtla/nixtla/assets/10517170/1c042591-0585-4a5b-a548-2017a28f2d4f)"
+    "![benchmark results](../../assets/timeseries_model_arena.png)"
    ]
   },
   {

nbs/mint.json

@@ -31,7 +31,8 @@
         "docs/getting-started/data_requirements.html",
         "docs/getting-started/pricing.html",
         "docs/getting-started/faq.html", 
-        "docs/getting-started/glossary.html"     
+        "docs/getting-started/glossary.html",
+        "docs/getting-started/why_timegpt.html"     
       ]
     },
     {