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Talks from teams running models in production. How they test them, what they cost, where they fail and how the product around them changes once the demo is over and real users arrive.
Evaluating models in production
Cost, latency and the bill at scale
Designing interfaces people can correct
Retrieval, data quality and drift
When not to use a model

Hosted by
Zara Haddad
7 sessions



