David Linthicum argues that the obsession with Large Language Models distracts from more practical AI applications. He highlights the extensive resources LLMs consume and notes that while incremental improvements will continue, significant breakthroughs are unlikely. Businesses should prioritize using smaller, domain-specific models and harnessing their proprietary data for greater value. By focusing on tailored solutions and tangible problem-solving rather than chasing the latest LLM hype, organizations can achieve real, measurable benefits and align their AI strategies with actual business needs.
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