Training and customizing LLMs for high accuracy is fraught with challenges, primarily due to their dependency on high-quality data. Poor data quality and inadequate volume can significantly reduce model accuracy, making dataset preparation a critical task for AI developers. Datasets frequently contain duplicate documents, personally identifiable information (PII), and formatting issues.
]]>