Glossary · Data & representations
Embedding
A learned mapping from discrete items (words, images, users) to dense vectors in continuous space, where similar items end up close together
Common confusion
Similarity depends on the model, training objective, and metric. Distance in one embedding space does not carry over to another.
Related terms
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