diff --git a/Tutorials/2_Metrics/2.1_Similarity_Metrics.ipynb b/Tutorials/2_Metrics/2.1_Similarity_Metrics.ipynb
index da3ec56cc..dbcfd2272 100644
--- a/Tutorials/2_Metrics/2.1_Similarity_Metrics.ipynb
+++ b/Tutorials/2_Metrics/2.1_Similarity_Metrics.ipynb
@@ -770,7 +770,7 @@
    "id": "c353d8cc",
    "metadata": {},
    "source": [
-    "Using embedding, we can get the correct result different from Jaccard similarity that sentence 1 and 2 should be more similar than sentence 1 and 3 using either Euclidean distance or cos similarity as the metric."
+    "Using embeddings, sentence 1 and 3 are more similar than sentence 1 and 2: their Euclidean distance is smaller (0.593 vs. 0.715), and their cosine similarity is higher (0.824 vs. 0.745). Both metrics agree with the semantic comparison above, unlike Jaccard similarity."
    ]
   }
  ],