ByteBrief
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Enterprises are turning to lower-cost, open AI models trained on private data to address rising data security fears and AI usage costs. This approach lets companies protect sensitive information from AI labs while reducing inference expenses. The shift comes as enterprises move from planning AI use to actual deployment.
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