An LLM-Driven Intelligent Agent for Adaptive Data Preparation with Strategy Memory
Data preparation, including source profiling, quality diagnosis, and cleaning, remains a labor-intensive bottleneck in data-driven applications. Traditional approaches require manual rule design for each data source and lack adaptability to heterogeneous formats. This paper proposes an LLM-driven intelligent agent for...