Sharing Key and Value Tensors for a Group of Query Tensors to Mitigate Transformer Attention Layer Performance Bottleneck

Performance Bottleneck for Serving Transformer Models

Scene Representation and Differentiable Rendering with Neural Radiance Fields

Fine-Tuning and Pruning of Large Language Models Using Low-Rank Adaptation

Implementing Variational Autoencoder in PyTorch

Accelerating PyTorch Deep Learning Training with Automatic Mixed Precision

PyTorch Pruning for Creating Sparse Neural Networks

Mathematical Foundations to Neural Network Quantization