Wei Du

Wei Du Email and Phone Number

Research Scientist @ NVIDIA (LLM reasoning / Generative AI / NLP) @ NVIDIA
santa clara, california, united states
Wei Du's Location
Seattle, Washington, United States, United States
About Wei Du

I am a research scientist at NVIDIA, working with the NEMO LLM team, where I focus on training, fine-tuning, and reasoning for large language models (LLMs).Google Scholar: https://scholar.google.com/citations?user=6WuMT4oAAAAJ&hl=en

Wei Du's Current Company Details
NVIDIA

Nvidia

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Research Scientist @ NVIDIA (LLM reasoning / Generative AI / NLP)
santa clara, california, united states
Website:
nvidia.com
Employees:
18356
Wei Du Work Experience Details
  • Nvidia
    Research Scientist
    Nvidia Mar 2024 - Present
    NEMO LLM Reasoning
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  • Qualtrics
    Applied Scientist Ii
    Qualtrics Jan 2022 - Mar 2024
    Seattle, Washington, United States
    Lead different NLP projects, including NER, keyphrase extraction, topic modeling, LLM development, large model compression and knowledge graph construction.
    View
  • University Of Arkansas
    Research Assistant
    University Of Arkansas Jan 2017 - Dec 2021
    Fayetteville, Arkansas Area
    I conduct research on deep learning and machine learning. I focus on security and privacy of deep learning, efficient deep learning, federated learning and distributed learning, fairness machine learning.
    View
  • Amazon Alexa Ai
    Applied Scientist
    Amazon Alexa Ai Jan 2020 - Jun 2020
    Greater Seattle Area
    View

Wei Du Education Details

Frequently Asked Questions about Wei Du

What company does Wei Du work for?

Wei Du works for Nvidia

What is Wei Du's role at the current company?

Wei Du's current role is Research Scientist @ NVIDIA (LLM reasoning / Generative AI / NLP).

What schools did Wei Du attend?

Wei Du attended University Of Arkansas, Case Western Reserve University, Zhejiang University, Northeastern University (Cn).

Who are Wei Du's colleagues?

Wei Du's colleagues are Vijaybhaskar Nutheti, Ravi Chandra Moturi, Wei-Chun Chen, Kari Cinker, Mark Watson, Raj Khanna, Jonathan Yang.

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