Mission-Critical Evals at Scale - Learnings from 100k Medical Decisions

Learn to build scalable, self-auditing evaluation systems for mission-critical LLM applications through real-world insights from processing 100,000 medical decisions at Anterior, where AI assists health insurers in approving medical treatments with zero tolerance for error. Discover how to identify and address new edge cases and failure modes that emerge as your LLM product scales, understand why reference-free evaluation systems are essential for high-stakes applications, and explore the implementation of real-time evaluation processes that provide both quality assurance and competitive defensibility for your AI products.