ByteBrief
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Agentic AI platforms increasingly rely on classical ML models like CatBoost classifiers and isolation forests as tools for agents. These models provide accuracy, precision, interpretability, cost, and control for tasks where LLMs are inappropriate. Agents can call models directly for inference or retrieve pre-calculated results from a database.
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