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The tutorial explains the importance of data quality for large language models and how much data is trapped in PDF and image files. The focus is on efficiently extracting text and metadata from these documents, using a specific one-page PDF as an example. The PDF contains role-based and column-based information, with the challenge being to extract the latter efficiently. The tutorial demonstrates the process of converting the PDF into an image to work with libraries like Pytesseract for extracting information.
