Using Classical ML to Empower AI Agents with Data Analysis Tools

Classical machine learning (ML) models have long been a cornerstone of data analysis, providing insights into complex datasets that would be impossible to achieve through other means. However, in recent years, the rise of large language models (LLMs) has led some to question the relevance of classical ML in modern AI applications. But as it turns out, agentic AI needs classical ML much more than initially thought.