Writing
Architecture, evaluation, prototypes, production systems, and the lessons that connect them.
Insurance teams often ask LLMs to summarize documents, then struggle to define what a good summary looks like. A better approach is to start from the decision, extract the critical fields...
Four hard-earned lessons from turning a promising GenAI claims demo into a production-ready solution—from defining meaningful measurements and managing technical debt to building effectiv...
Processing scanned claim PDFs used to be “good enough” if the text was mostly readable. In the GenAI era, that’s no longer true: if OCR misses a checkbox, scrambles a table, or loses layo...
DSPy is powerful, but many enterprise environments can’t call public LLM endpoints directly. This guide shows a minimal, practical way to plug an internal (non-standard) LLM service into ...
In this post, I explore how modern web apps like RAGflow handle long-running tasks (such as OCR or keyword extraction) without relying on time-limited HTTP API methods. Instead, tasks are...
If you’ve found your way here, you’re probably already excited about the potential of the RAGFlow project and eager to see it in action. I was in the same position, so I delved into the c...
Predictive underwriting is revolutionizing the insurance industry by harnessing data analytics and machine learning. This innovative approach streamlines risk assessment, enhances custome...