Messy insurance emails, property listings, and medical prescriptions are important documents in my daily workflow, but most of the time, it is difficult to get usable data out of them. Traditional ...

Abstract: Forecasting equity markets has traditionally relied on structured data sources, such as historical prices, fundamentals, and macroeconomic indicators. However, unstructured data, including ...

Abstract: The purpose of this research is to upgrade accessibility and cross-language information retrieval by fashioning a Multilingual Text Recognition and Interpretation System. This system seeks ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Have you ever felt overwhelmed by the sheer amount of unstructured data trapped in PDFs, invoices, or scanned documents? World of AI breaks down how you can transform this challenge into an ...