[KongchangAI]
Unverified50% confidenceFactExact time

One-hot encoding assigns each word in the vocabulary a unique index, representing it with a vector that has a 1 only at that index position and 0s elsewhere; the dot product of any two different one-hot vectors is always 0 (orthogonal).

1
Sources
50%
Confidence
Long-term
Relevance
8/22/2026
First Seen

Sources

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