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π From September 2022, Haiyang started his Ph.D. degree in computer software and theory in School of Computer Science of Peking University.
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π Haiyang received his B.E degree from School of Computer Science in Northwestern Polytechnical University in June 2022.
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π± My research interests lie in agents based on large models (LLMs/MLMs). Specifically, I am interested in:
- π The integration of LMs with APIs (tools).
- π The software engineering challenges associated with the integration.
- π± The applications of LMs on edge devices.
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π My research group primarily focuses on system software, including machine learning systems, serverless computing, web systems, software engineering, and etc. In my first year of Ph.D., I studied anomaly detection, federated learning, inference optimization for LLMs in the cloud, etc.
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π Throughout my studies from system software to deep learning, I have gained knowledge in various areas including methods and applications of natural language processing, retrieval systems, data analysis and mining, acceleration, and application of machine learning systems.
- π§ [email protected]
- π https://github.com/eachsheep
- π https://eachsheep.space
- π My introduction at here.
- UbiquitousLearning/mllm - Fast Multimodal LLM on Mobile Devices (1 day ago)
- facebookresearch/SpinQuant - Code repo for the paper "SpinQuant LLM quantization with learned rotations" (1 day ago)
- EachSheep/AutoregressiveAPIRetriever - (4 days ago)
- IndieKKY/bilibili-subtitle - εε©εε©εεΉε葨ζ΅θ§ε¨ζ©ε±οΌεθ½ε ζ¬ηΉε»θ·³θ½¬οΌδΈθ½½εεΉοΌζ»η»εεΉοΌηΏ»θ―εεΉηγ (1 week ago)
- langgenius/dify - Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. (1 week ago)