Why Classical ML Still Beats LLMs in Agent Toolkits
Embedding trained regression, classification, or clustering models into AI agents restores quantitative accuracy and interpretability that LLMs lack. The article shows real‑world use cases—like a real‑estate pricing agent—that outperform pure LLM prompts, proving that classical ML remains essential for trustworthy, data‑driven agents.