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docs: correct embedding similarity example conclusion #1602

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2 changes: 1 addition & 1 deletion Tutorials/2_Metrics/2.1_Similarity_Metrics.ipynb
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Expand Up @@ -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."
]
}
],
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