Why can an AI still misunderstand an ambiguous word?
The available context may be insufficient, the training examples may favor another meaning, or the model may fail to combine the relevant clues correctly.
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More FAQs in How does AI distinguish between different meanings of the same word?
Usually not. Tokenization generally follows text patterns rather than assigning a distinct ID to every dictionary sense, so contextual processing must resolve many differences in meaning.
A generated answer can use the earlier prompt as a whole. Inside a causal decoder, however, each position is restricted from attending to later positions.
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