Jiaqi Zeng

Jiaqi Zeng is a senior applied research scientist at NVIDIA, where he drives advancements in large language models with a focus on model alignment, reasoning, and parameter-efficient training. His work has been instrumental in pushing the boundaries of AI capabilities, enabling more accurate and informative language understanding. He holds a master's degree in Machine Learning from Carnegie Mellon University.
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Posts by Jiaqi Zeng

How the Llama-Nemotron 30M Post Training Dataset was created
Generative AI

Build Custom Reasoning Models with Advanced, Open Post-Training Datasets

Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from... 5 MIN READ
Generative AI

NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy

AI is no longer just about generating text or images—it’s about deep reasoning, detailed problem-solving, and powerful adaptability for real-world... 8 MIN READ
Generative AI

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