Applied AI
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






