An ink-making shop already trusts a stills grader and a smell-note grader and only needs a final mix. Updating one specialist must not retrain the other. Which fusion choice best fits?
Select an answer to reveal the explanation.
Short Explanation
When each specialist must stay replaceable, late fusion is the modular choice. Mix the finished grades at the end; do not weld the models together at the input.
Full Explanation
Late fusion preserves modularity: each modality model can be updated or swapped without retraining the other, and only the final combination step changes. Early fusion into one shared low-level stack couples the specialists. Intermediate fusion is for required mid-level interaction, not for maximum independence.