LLMs translate semantic mission requirements into convex trajectory optimization problems and code for spacecraft rendezvous with high reported success rate.
Canonical intermediate representation for llm-based optimization problem formulation and code generation
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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.
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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.