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Shuai Xie is an Algorithm Engineer at JD Explore Academy and the leading member of the Inference Team in the Systems and Foundation Models Department. He is dedicated to the research and development of efficient inference technologies for JD’s foundational large models, as well as the collaborative optimization of training-side technologies. He has led and participated in the development of JD’s self-developed integrated inference deployment framework, which has been applied across various business scenarios within JD.
MSc. Compute Science
Zhejiang University
BSc. Compute Science
Central South University
I’m an algorithm and system engineer in the Omninfer team at JD Explore Academy. We apply a range of qualitative and quantitative methods to comprehensively accelerate the inference speed and cut off the cost of large language models, including Post-Training Quantization, Speculative Decoding and Prefill-Decode Disaggregation.
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