LLMs Shouldn’t Do Math: Why Your Agents Need Classical ML Tools
SMRTR summary
LLMs are bad at precise math and statistics, yet engineers keep forcing them to do it. A Python library called predikit solves this by wrapping classical ML models like XGBoost and scikit-learn into LLM-callable tools with auto-generated schemas, letting AI agents handle reasoning while dedicated models handle accurate predictions.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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