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Cosine vs Dot Product — What’s the Difference?#ai #genai #software #study #technology
Cosine similarity vs dot product vs Euclidean distance: Cosine similarity measures the angle between vectors (semantic similarity). Dot product considers both direction and magnitude. Euclidean distance measures absolute distance in space. Cosine similarity is commonly used in NLP tasks where relative meaning is more important than scale.
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