From aad518efbd15576da53957298eb384d389316b98 Mon Sep 17 00:00:00 2001 From: hahahahahayesyeseys <1145018948@qq.com> Date: Wed, 16 Sep 2026 10:04:53 +0000 Subject: [PATCH] docs: correct embedding similarity example conclusion --- Tutorials/2_Metrics/2.1_Similarity_Metrics.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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." ] } ],