LLMs Shouldn't Do Math: Use Classical ML Instead

Large Language Models are ill-suited for high-throughput, low-latency, statistically verifiable predictions like credit risk or customer churn. Engineers in production environments should use classical machine learning tools such as XGBoost or scikit-learn, which are trained on millions of rows and return precise, verifiable results.