Can similar vectors still represent importantly different statements?
Yes. A model may emphasize shared topic or wording while underrepresenting negation, dates, or quantities. Similarity scores should be evaluated against the application’s actual requirements.
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More FAQs in Why does AI convert information into numerical vectors?
No. The representation reflects design choices, training data, and optimization goals. Different models can emphasize different relationships or inherit different weaknesses from their data.
Fixed dimensions allow consistent mathematical operations and batching across inputs of different lengths. The encoder compresses or combines input information into that expected output format.
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