Graduating from Proprietary to Open Source Models in Production // Philip Kiely // AI in Production

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// Abstract
Model endpoints are a good way to prototype ML-powered applications. But in a production environment, you need security, privacy, compliance, reliability, and control over your model inference — as well as high results quality, low latency, and reasonable cost at scale. Learn how AI-native companies from startups to enterprise are using open source ML models to power core production workloads performantly at scale.

// Bio
Philip Kiely is a …

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