The answer
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.
How does AI distinguish between different meanings of the same word?
Can a model use words that appear later in the prompt?
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.
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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