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: The growing volume of textual data across various domains has led to the increasing demand for efficient and accurate text processing systems. This research proposes a transformer-based ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Abstract: Extracting crucial information from lengthy documents can be a time-consuming and labor-intensive process. Automatic text summarization algorithms address this challenge by condensing ...

23 built-in metrics across two evaluation stages, plus a customizable LLM-as-a-Judge for your own criteria. Use the Model Context Protocol (MCP) for structured tool access.