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multi‑granularity segmentation

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DataFunTalk
DataFunTalk
Dec 25, 2020 · Artificial Intelligence

Exploring Pretraining Model Optimization and Deployment Challenges in NLP

This article reviews the evolution of pretraining models in NLP, discusses the practical challenges of deploying large models such as inference latency, knowledge integration, and task adaptation, and presents Xiaomi’s optimization techniques including knowledge distillation, low‑precision inference, operator fusion, and multi‑granularity segmentation for dialogue systems.

BERTNLPdialogue systems
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Exploring Pretraining Model Optimization and Deployment Challenges in NLP