Query: use the query to match the key.
Key: label of each data slice.
Value: the data itself.
1. Compute the similarity between query and key.
query [1 2 3 ...]
key [4 5 6 ...]
score
The problem describes a simple query-key-value setup and asks for the similarity score between the query and the key. In practice, this points to a vector-style matching step, often using dot product or another similarity metric to measure how well the query aligns with each key. The score is then used as the basis for selecting or weighting the associated value. The key idea is to identify the similarity computation correctly from the prompt and handle the sequence alignment carefully.
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