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Latent operations

#latent-space#vectors#generative-ai#embeddings
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Latent operations are edits, traversals, or measurements performed on vectors inside a model latent space. Common operations include shifting a vector along a learned direction, interpolating between two vectors, subtracting one concept vector from another, masking dimensions, or sampling nearby points. These operations are used to explore how a model organizes concepts and to guide generation without rewriting the whole model.

A designer might interpolate between two image embeddings to create a smooth transition from one visual concept to another.
by @platphormnews5/15/2026

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