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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Starstruck

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Starstruck

Highlights

  • Pro

Organizations

@thunlp @ROCm

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yushengsu-thu/README.md

About Me (LLM #Researcher #Engineer):

My research goal is to develop models that progress toward achieving AGI. I am currently focusing on three key areas: (1) scaling data volume and quality, (2) enhancing the robustness of model architecture, and (3) optimizing training efficiency. By pursuing these objectives, I aim to break through the boundaries of the existing state-of-the-art model capabilities and facilitate its rapid iterative development. (Personal Website, Google Scholar).

Open Source Projects: (32K+ stars)

Contact:

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  1. OpenBMB/AgentVerse OpenBMB/AgentVerse Public

    🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

    JavaScript 4.2k 411

  2. thunlp/Prompt-Transferability thunlp/Prompt-Transferability Public

    On Transferability of Prompt Tuning for Natural Language Processing

    Python 97 11

  3. yushengsu-thu.github.io yushengsu-thu.github.io Public

    Forked from academicpages/academicpages.github.io

    Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

    JavaScript 1

  4. NVIDIA/Megatron-LM NVIDIA/Megatron-LM Public

    Ongoing research training transformer models at scale

    Python 10.7k 2.4k

  5. karpathy/llm.c karpathy/llm.c Public

    LLM training in simple, raw C/CUDA

    Cuda 24.6k 2.8k

  6. hack-vimrc hack-vimrc Public

    my vim configure

    Vim Script 1