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JioStar describes its experience deploying AI at a scale of 500 million users

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Vijay Seshadri of JioStar describes experience with selecting AI models (AI discovery), evaluations, and safety mechanisms (guardrails) when deploying AI into production for a platform with 500 million users. For details, see the source article.

Vijay Seshadri, who serves as chief architect at JioStar, describes insights from deploying AI on a platform reaching 500 million users. According to the available text, he focuses on the process of selecting a suitable AI model (so-called AI discovery), on evaluations and testing (evals), and on safety mechanisms (guardrails) that are needed before moving into production.

The source text does not state specific models, metrics, a timeframe, or a detailed description of the individual steps of the process. For details, see the source article.

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AI discovery evals guardrails JioStar machine learning production deployment

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OpenAI News primary source · first detected JioStar’s chief architect on AI discovery at 500M-user scale