Show HN: Recursive Language Model for Querying Human Action by Ludwig von Mises (github.com)

A new project has been announced that employs Recursive Language Models (RLM) to interactively explore Ludwig von Mises's influential text, "Human Action." This innovative tool allows users to query the dense economic theories and philosophical insights of Mises's 900-page work, transforming the complex material into an accessible dialogue. By leveraging advanced natural language processing techniques, the RLM provides deep contextual understanding, catering to students, researchers, and curious minds alike. The technical implementation involves cloning a GitHub repository and installing necessary dependencies, including integration with OpenAI's LLM API and a Flask-based web server. Users can easily set up the environment and run the application, which downloads the book and initializes the RLM for inquiry. This project not only illustrates the potential of AI to democratize access to intricate academic literature but also showcases the utility of recursive models in processing and understanding extensive texts, significantly benefiting the AI/ML community's exploration of language comprehension.