My take: Quality (e.g. accuracy/F1) will be the defining dimension. And quality will come from data (quality, access) plus a trade-off between algorithms (tailored vs generic) and size (large models, compute). Ref: Inside AI Commentary by @robmay inside.com/campaigns/insi…
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