JioStar's chief architect Vijay Seshadri discussed AI discovery at a massive scale, with over 500 million users. He shared lessons learned on evaluating AI models, implementing guardrails to ensure AI safety and fairness, and deploying AI systems into production. Seshadri highlighted the importance of rigorous evaluation and testing to assess AI performance, including metrics such as accuracy, fairness, and interpretability. He also emphasized the need for guardrails to prevent AI systems from causing harm, such as bias or unintended consequences. The insights are relevant to developers and operators of large-scale AI systems, as they can inform best practices for deploying AI at scale and ensuring responsible AI development.