diff --git a/tutorial.ipynb b/tutorial.ipynb
index 42fbf578e..95bd1a4f7 100644
--- a/tutorial.ipynb
+++ b/tutorial.ipynb
@@ -1010,7 +1010,7 @@
         "id": "DLI1JmHU7B0l"
       },
       "source": [
-        "## Weights & Biases Logging (🚀 NEW)\n",
+        "## Weights & Biases Logging 🌟 NEW\n",
         "\n",
         "[Weights & Biases](https://www.wandb.com/) (W&B) is now integrated with YOLOv5 for real-time visualization and cloud logging of training runs. This allows for better run comparison and introspection, as well improved visibility and collaboration for teams. To enable W&B logging install `wandb`, and then train normally (you will be guided through setup on first use).\n",
         "```bash\n",
@@ -1077,9 +1077,9 @@
         "id": "MDznIqPF7nk3"
       },
       "source": [
-        "from utils.utils import plot_results \n",
-        "plot_results(save_dir='runs/train/exp')  # plot results.txt as results.png\n",
-        "Image(filename='results.png', width=800) "
+        "from utils.plots import plot_results \n",
+        "plot_results(save_dir='runs/train/exp')  # plot all results*.txt as results.png\n",
+        "Image(filename='runs/train/exp/results.png', width=800)"
       ],
       "execution_count": null,
       "outputs": []
@@ -1182,4 +1182,4 @@
       "outputs": []
     }
   ]
-}
+}
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