MICKAI Labs / Trust Agent

Embedding constellation

Embed your sentences and explore their relationships in a three-dimensional, orbitable space.

How this experiment works

MiniLM computes 384-dimensional embeddings. Principal component analysis projects them to three axes for inspection.

What it does not prove

PCA discards dimensions. Distances in the view can distort semantic relationships; consult the original cosine scores.

Try this challenge

Add a sentence about an unrelated subject. Does its location agree with its cosine scores?

Related Trust Agent courses ยท Sources and licences

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