Relevance Over Scale: Building AI That Survives Contact with Reality
SMRTR summary
Large Language Models often fail in high-stakes fields like manufacturing and facilities management because they prioritize generating answers over generating the right answers. Smaller, task-specific AI models built for precision and consistency are better suited for real-world workflows where accuracy and accountability matter most.
SMRTR provides this summary for quick context. The original article belongs to Unite AI.
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