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Exploring Data Cleaning and Preprocessing for Machine Learning Applications
Exploring the essential role of data cleaning and preparation in the RAG pipeline, bridging the gap between raw source documents and the Language Object Model (LOM). The discussion emphasizes the significance of data quality in machine learning and AI, underscoring the complexities and advantages of appropriately preprocessing documents.