How Lyft Uses ML to Make 100 Million Predictions A Day
SMRTR summary
LyftLearn Serving enables scalable, real-time ML inference through isolated microservices, offering flexible deployment, a lightweight HTTP interface, framework-agnostic hosting, and built-in testing to support millions of daily low-latency predictions across Lyft's services.
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