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@feifeibear
Jiarui Fang feifeibear
Democratizing LLM

Tencent Shanghai, China

@openai
OpenAI openai
@bojone
苏剑林(Jianlin Su) bojone
科学爱好者
@SJTU-IPADS
SJTU-IPADS SJTU-IPADS
Institute of Parallel and Distributed Systems (IPADS)

Shanghai, China

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford

@tridao
Tri Dao tridao
Assistant Professor @ Princeton CS, machine learning & systems

Stanford, CA

@lucidrains
Phil Wang lucidrains
Working with Attention. It's all we need

San Francisco

@boson-ai
Boson AI boson-ai
Large Models for Everyone

United States of America

@ray-project
ray-project
@lm-sys
LMSYS lm-sys
Large Model Systems Organization
@labmlai
labml.ai labmlai
Tools to help deep learning researchers
@mit-han-lab
MIT HAN Lab mit-han-lab
Efficient AI Computing. PI: Song Han

MIT

@HermitSun
Wen Sun HermitSun
Born in 1866.11.12.

Tsinghua University Beijing, China

@hpcaitech
HPC-AI Tech hpcaitech
We are a global team to help you train and deploy your AI models
@Unity-Technologies
Unity Technologies Unity-Technologies

Copenhagen, Denmark

@baichuan-inc
Baichuan Intelligent Technology baichuan-inc
@joonspk-research
Joon Sung Park joonspk-research
CS Ph.D. student at StanfordHCI + StanfordNLP.
@MasterJH5574
Ruihang Lai MasterJH5574
Second-year PhD student at CMU / Undergrad from ACM Class, SJTU / ML Systems / Deep Learning Compilers / @apache TVM PMC

Carnegie Mellon University Pittsburgh, United States

@zhuohan123
Zhuohan Li zhuohan123
🎓 CS PhD at UC Berkeley | 👨‍💻 Machine Learning System | Building @vllm-project

UC Berkeley San Francisco Bay Area

@google-research
Google Research google-research

Earth

@tqchen
Tianqi Chen tqchen
Large scale Machine Learning

CMU, OctoML

@songhan
Song songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.

MIT, NVIDIA

@minitorch
minitorch