LAD: LAYER-WISE ADAPTIVE DISTILLATION FOR BERT MODEL COMPRESSION

Syrups and Sauces Recent advances with large-scale pre-trained language models (e.g., BERT) have brought significant potential to natural language processing.However, the large model size hinders their use in IoT and edge devices.Several studies have utilized task-specific knowledge distillation to compress the pre-trained language models.However,

This paper analyse the endoscopic effects Collections of peristaltic nanofluid flow of Jeffrey six-constant fluid model in the presence of magnetohydrodynamics flow.The current problem is modeled in the cylindrical coordinate system and exact solutions are managed (where possible) under low Reynolds number and long wave length approximation.The inf