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coursera-ml-andrewng-notes's Introduction


About me


  • 🎓 M.S. Graduate Student at Carnegie Mellon University - Computer Systems, Machine Learning
  • 🎓 B.S. Undergraduate Alumnus at Vanderbilt University - Computer Science, Mathematics
  • 📍 Pittsburgh, PA, USA
  • 🏠 Hefei, CN -> London, CA -> Nashville, US
  • ACM Student Fellow, IEEE CMU Student Chapter

I am creating projects mainly on LLM and Computer Systems, feel free to check out my implementation of the Llama 2 and BERT models and try running them! I also have demos of various distributed models such as RAFT as well as Multi-client server projects dedicated to playing around with distributed systems purposes.

Update: Currently I am testing out the RAG and MoEs utilization of LLMs for retrieval problems, stay tuned for further updates.

My Skills 🛠️:

👉 Programming languages

C C++ Python Java Go SQL

👉 Technologies

Linux Amazon Web Service AzureCloud Google Cloud Docker MongoDB Kubernetes PyTorch Tensorflow Django Node.js React

Connect ☕ :


@allen_zhu9 @allenjwzhu724 @allenzhu724@gmail.com

Last edited on: 08/11/2024

coursera-ml-andrewng-notes's People

Contributors

chandlercjy avatar fengdu78 avatar ir1d avatar junxnone avatar liam-yang avatar ringotc avatar

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