WillHurtDontCare
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I suspect because running AI at scale is hardware intensive. Maybe some computer science experts can point out.
That's part of it, but the other part is because it's more expensive to use these tools if you don't know what you're doing.
People who know how to use a particular model well for specific circumstances will be able to save companies thousands, likely millions of needlessly incurred costs.
And they will also be able to get companies who are afraid of losing money from ignorance to try it.
And there are things like pre-processing data (IE trimming a document down into key pieces of information) before passing it to the model that can reduce costs and improve results.
Lots of opportunity.
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