Can two token IDs have similar embeddings?
Yes. Separate vocabulary items may acquire related numerical representations during training, even when their integer IDs are far apart in the vocabulary table.
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More FAQs in What is the difference between a token ID and an embedding?
The initial lookup vector is typically fixed for a given set of model weights. Contextual representations produced by later layers can differ between occurrences.
Not necessarily. An image encoder can produce vectors from pixels or patches without using text vocabulary IDs. The input representation depends on the architecture.
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