BERT-Large: Prune Once for DistilBERT Inference Performance

Compress BERT-Large with pruning & quantization to create a version that maintains accuracy while beating baseline DistilBERT performance & compression metrics.

Speeding up transformer training and inference by increasing model size - ΑΙhub

Know what you don't need: Single-Shot Meta-Pruning for attention heads - ScienceDirect

All The Ways You Can Compress Transformers

Excluding Nodes Bug In · Issue #966 · Xilinx/Vitis-AI ·, 57% OFF

Distillation and Pruning for GEC Model Compression - Scribendi AI

BERT compression (2)— Parameter Factorization & Parameter sharing & Pruning, by Wangzihan

PDF] EBERT: Efficient BERT Inference with Dynamic Structured Pruning

Jeannie Finks on LinkedIn: Uhura Solutions partners with Neural

Large Transformer Model Inference Optimization

Improving Pre-trained Language Models

Delaunay Triangulation Mountainscapes : r/generative