Haibin Lin
Login to view DISC.Haibin Lin leads LLM systems at Bytedance Seed, where he optimizes training infrastructure for foundation models across more than 10, 000 GPUs. A Carnegie Mellon graduate, his prior experience includes developing Apache MXNet at Amazon. He focuses on enhancing the efficiency of both pre-training and post-training processes.
His work on the "MegaScale" paper details the complexities of scaling large language model training to over 10, 000 GPUs.
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