Challenges in Extracting Knowledge from PDFs
Despite their ubiquity in academic and technical domains, PDFs present significant challenges for automated information retrieval due to their diverse formatting, embedded elements, and lack of standardized metadata structures. Consequently, conventional AI models that rely solely on retrieval-based approaches often struggle to generate precise, contextually relevant responses. This necessitates fine-tuning Large Language Models (LLMs) on domain-specific corpora extracted from PDFs to enhance accuracy, consistency, and knowledge retention. Continue reading on Medium!
Challenges in Extracting Knowledge from PDFs Despite their ubiquity in academic and technical domains, PDFs present significant challenges for automated information retrieval due to their diverse formatting, embedded elements, and lack of standardized metadata structures. Consequently, conventional AI models that rely solely on retrieval-based approaches often struggle to generate precise, contextually relevant responses. This necessitates fine-tuning Large Language Models (LLMs) on domain-specific corpora extracted from PDFs to enhance accuracy, consistency, and knowledge retention. Continue reading on Medium!