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Jehan Wickramasuriya — AI in High-Stress Scenarios

Gradient Dissent: Conversations on AI

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Getting a Viable Model Out of R&D

The easy part is getting a viable model out of research if you will out of R&D like we have great tools increasingly our training infrastructures. The hard part is finding candidate sites are you doing it the right way and how do you scale that again which is why we're trying to use things like synthetic data a little bit more effectively. One change we made was our AI data team originally only served our machine learning team now the AI data team also serves our platform team and our test team as well.

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