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Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Optimized Onte Product Astack
Even with this kind of detac structure, even with this thecoupling of the useside and the document aside, we tealing counter challenges about alli scorring. So lak, for such systems, someof su usistems tey have hundreds of sousens of candidates to rank at a real time. In that case, we actually set up a few ranking stages. And then we use detext to do a more fine granitethe branking base down tis, say, resoomo, size of candis. That also a learned model. It is lenemodel.
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