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by viraptor 613 days ago
> The words the model sees are "alligator", "tail", and "without", but without means nothing.

That's an old approach used in SD 1/2 level solutions - for gpt that answer is incorrect/outdated. We've moved past that approach. New models use sentence embeddings which can represent meaning beyond individual words - for example Flux uses T5. OpenAI has been using some form of that for quite a while.