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Model minimalism: The new AI strategy saving companies millions
LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership.
He suggests enterprises identify the benefits they expect to achieve, estimate these based on historical data, be realistic about the overall cost of AI, including hiring, implementation and maintenance, and understand you have to be in it for the long haul. Daniel Hoske, chief technology officer at contact center AI products provider Cresta, said starting development with LLMs informs potential cost savings better. “Our typical approach for agentic use cases begins with general-purpose LLMs as their broad generalizationability allows us to rapidly prototype, validate hypotheses and assess product-market fit,” LinkedIn’s Ramgopal said.
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