Mengdi Huang

Mengdi Huang is a deep learning engineer at NVIDIA with five years of experience working in various DL-based AI research and application areas, including scalable machine learning, recommender systems, and multimodal language, vision, and speech processing.

Posts by Mengdi Huang

Technical Walkthrough 0

Integrating with Data Generation and Labeling Tools for Accurate AI Training

In this blog post, we outline the key challenges in data preparation and training. We also introduce how to integrate your data to fine-tune AI/ 6 MIN READ
Technical Walkthrough 0

Building and Deploying Conversational AI Models Using NVIDIA TAO Toolkit

Conversational AI is a set of technologies enabling human-like interactions between humans and devices based on the most natural interfaces for us: speech and… 25 MIN READ
Technical Walkthrough 0

Minimizing Deep Learning Inference Latency with NVIDIA Multi-Instance GPU

Recently, NVIDIA unveiled the A100 GPU model, based on the NVIDIA Ampere architecture. Ampere introduced many features, including Multi-Instance GPU (MIG)… 20 MIN READ
Technical Walkthrough 0

Accelerating ETL for Recommender Systems on NVIDIA GPUs with NVTabular

Recommender systems are ubiquitous in online platforms, helping users navigate through an exponentially growing number of goods and services. 11 MIN READ
Technical Walkthrough 0

Optimizing the Deep Learning Recommendation Model on NVIDIA GPUs

Recommender systems help people find what they’re looking for among an exponentially growing number of options. They are a critical component for driving user… 16 MIN READ