Guyue Huang

Guyue Huang is a deep learning architect at NVIDIA, specializing in post-training RL performance. She has contributed to many open-source LLM training libraries such as NeMo-RL and Megatron-LM. She received her PhD degree from UC Santa Barbara.
Avatar photo

Posts by Guyue Huang

Decorative image.
Agentic AI / Generative AI

Run High-Throughput Reinforcement Learning Training with End-to-End FP8 Precision

As LLMs transition from simple text generation to complex reasoning, reinforcement learning (RL) plays a central role. Algorithms like Group Relative Policy... 9 MIN READ