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VERSION:2.0
PRODID:-//OneJoy//events//EN
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UID:onejoy-event-44103@onejoy
DTSTAMP:20261002T145600Z
DTSTART:20261026T203000Z
DTEND:20261026T223000Z
SUMMARY:Building a Model Evaluation Practice for Production AI
LOCATION:7 West 34th Street\, 7 W 34th St.\, New York\, NY 10001\, USA\, NY
DESCRIPTION:Most teams pick an AI model the same way they pick a coffee machine - the demo looks good or they hear about it from someone\, so they assume it works. But in production\, evaluation decisions directly impact cost\, latency\, accuracy\, and user trust. Without a structured eval practice\, you're flying blind when a model regresses\, or a new release claims to be better.\nThis session gives you a framework for evaluating LLMs against your workloads and operationalizing evaluation as a continuous practice\nhttps://onejoy.io/event/44103
URL:https://onejoy.io/event/44103
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