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[P] Deploying generalizable deep learning models to production search engines

We recently implemented new features such as Kubernetes support, a frontend, etc on an open source project I’ve been working on called NBoost.

So I wrote an article to talk about some of the hurdles of building a production-scale domain-specific deployment of SoTA models.

Some of the main features are:

– open-source hosting of finetuned models for domain-specific knowledge

– Kubernetes deployment via Helm

– A frontend for tracking model and network latency

submitted by /u/colethienes
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.