Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation
Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production. By Zhou Yu
لماذا يهم هذا الخبر؟
سيظهر الملخص التحليلي هنا بعد اكتمال معالجة الذكاء الاصطناعي.
سياق الخبر
Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production. By Zhou Yu
فتح الخبر الأصلي