Enterprise AI should treat LLMs as limited interfaces for extraction rather than monolithic engines, delegating knowledge and computation to dedicated modular components for better reliability and scalability.
Canonical intermediate representation for llm-based optimization problem formulation and code generation
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Position: Avoid Overstretching LLMs for every Enterprise Task
Enterprise AI should treat LLMs as limited interfaces for extraction rather than monolithic engines, delegating knowledge and computation to dedicated modular components for better reliability and scalability.