AI RESEARCH
Position: Avoid Overstretching LLMs for every Enterprise Task
arXiv CS.AI
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ArXi:2605.09365v1 Announce Type: new Enterprise workloads are dominated by deterministic, structured, and knowledge-dependent tasks operating under strict cost, latency, and reliability constraints. While these are often addressed through large language model (LLM) deployment or distillation into smaller models, we argue this is inefficient, unreliable, and misaligned with enterprise task structures.