This article discusses information extraction using large language models like GPT-3.5 and GPT-4. It also explains the methodology, the use of OCR, schema building, and the development of web applications using frameworks like LangChain and Streamlit. A state design pattern and a Python package called Transitions are used to build the application. The application effectively showcases the power of large language models and how they can generalize well on different documents. The article also provides GitHub repositories for the OCR API and the app, along with references.
source update: Demystifying Information Extraction using LLM – Towards AI