Building a Production Grade Document Understanding System with LLMs

Learn to build a production-ready document understanding system that leverages Large Language Models (LLMs) in this comprehensive workshop presented by Outerbounds co-founder Ville Tuulos and data scientist Eddie Mattia at the Toronto Machine Learning Series. Discover how to process unstructured text at scale, implement pattern discovery, create content summaries, and enhance existing ML models through embeddings. Master the integration of live data feeds from data warehouses with state-of-the-art LLMs while optimizing for cost efficiency. Gain hands-on experience using open-source Metaflow and open models to create a versatile system that can be readily adapted to various use cases in your own environment.