OpInf-LLM uses operator inference inside an LLM framework to accurately predict solutions for diverse parametric PDEs from limited data while supporting natural language task specification and high execution success rates.
"" 196validations = {} 197 198for op_name, op_data in operators.items(): 199op_array = np.array(op_data[
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OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference
OpInf-LLM uses operator inference inside an LLM framework to accurately predict solutions for diverse parametric PDEs from limited data while supporting natural language task specification and high execution success rates.