Meng Xin

Meng Xin is a senior deep learning engineer at NVIDIA, specializing in developing algorithms that enhance the training and inference of large-scale deep learning models. Prior to joining NVIDIA, he worked as a machine learning engineer with a focus on recommendation systems. He holds a Ph.D. in physics and an master's in computer science from the University of Massachusetts, Amherst.
Avatar photo

Posts by Meng Xin

Generative AI

How Quantization Aware Training Enables Low-Precision Accuracy Recovery

After training AI models, a variety of compression techniques can be used to optimize them for deployment. The most common is post-training quantization (PTQ),... 10 MIN READ