Automating Data Extraction with LLMs

This chapter explores the intricate process of transforming unstructured text into structured data using large language models. It discusses the challenges of integrating extraction services within data pipelines, the importance of metrics, and the critical role of quality assurance, particularly in sensitive sectors like healthcare. Furthermore, it highlights the development of tailored tools and solutions for diverse document types, emphasizing the adaptability and ongoing advancements in automated data extraction.