Zhilin Wang

Zhilin Wang is a senior applied scientist with the NVIDIA NeMo NLP team. He works on making LLMs useful for everyone by making them controllable, safe, and accessible. Zhilin attended graduate school at University of Washington where he studied natural language processing and researched dialogue systems and computational social science. Zhilin likes to follow the latest developments in technology, in particular at the intersection of language technologies and how it can contribute to improving human lives.
Zhilin Wang

Posts by Zhilin Wang

Agentic AI / Generative AI Apr 08, 2025

Build Enterprise AI Agents with Advanced Open NVIDIA Llama Nemotron Reasoning Models

This updated post was originally published on March 18, 2025. Organizations are embracing AI agents to enhance productivity and streamline operations. To... 12 MIN READ
Nemotron icon in front of multiple tiles with icons and three sliders each, in colors of green, purple, and grey.
Agentic AI / Generative AI Oct 03, 2024

New Reward Model Helps Improve LLM Alignment with Human Preferences

Reinforcement learning from human feedback (RLHF) is essential for developing AI systems that are aligned with human values and preferences. RLHF enables the... 4 MIN READ
Agentic AI / Generative AI Nov 27, 2023

Announcing HelpSteer: An Open-Source Dataset for Building Helpful LLMs

NVIDIA recently announced the NVIDIA NeMo SteerLM technique as part of the NVIDIA NeMo framework. This technique enables users to control large language model... 6 MIN READ
Agentic AI / Generative AI Oct 11, 2023

Announcing NVIDIA SteerLM: A Simple and Practical Technique to Customize LLMs During Inference

With the advent of large language models (LLMs) such as GPT-3, Megatron-Turing, Chinchilla, PaLM-2, Falcon, and Llama 2, remarkable progress in natural language... 10 MIN READ