Challenges of Quantitative Analysis in AI Models

This chapter explores the difficulties large language models face in performing quantitative analysis, especially in calculations and structured data interpretation. The discussion emphasizes their strengths with simple queries while acknowledging their limitations with complex, multifaceted questions, and considers the potential role of agentic workflows in improving performance.

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