diff --git a/nbs/docs/getting-started/7_why_timegpt.ipynb b/nbs/docs/getting-started/7_why_timegpt.ipynb
index 9137e04e..0c4add8b 100644
--- a/nbs/docs/getting-started/7_why_timegpt.ipynb
+++ b/nbs/docs/getting-started/7_why_timegpt.ipynb
@@ -14,21 +14,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/yibeihu/opt/anaconda3/envs/report/lib/python3.9/site-packages/dask/dataframe/__init__.py:42: FutureWarning: \n",
-      "Dask dataframe query planning is disabled because dask-expr is not installed.\n",
-      "\n",
-      "You can install it with `pip install dask[dataframe]` or `conda install dask`.\n",
-      "This will raise in a future version.\n",
-      "\n",
-      "  warnings.warn(msg, FutureWarning)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#| hide \n",
     "from nixtla.utils import in_colab"
@@ -775,7 +761,7 @@
     "#### 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",
-    "![benchmark results](../../assets/timeseries_model_arena.png)"
+    "<img src=\"../../assets/timeseries_model_arena.png\" />"
    ]
   },
   {