主讲人 Paul Liang（保罗·梁）是麻省理工学院（MIT）媒体实验室与EECS系助理教授。他拥有卡内基梅隆大学（CMU）机器学习博士学位，在MIT创办了多感官智能实验室。他擅长多模态AI、人机交互及多感官计算，其在多模态Transformer等前沿研究中具有极高的国际影响力。

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Introduction 从 DeepSeek-V3/R1 到 Qwen3-MoE、Kimi-K2，每一次超大模型的开源都带来性能与规模上的巨大跃升。然而，多数研究者与开发者受限于昂贵的显卡与动辄数千亿参数的模型， 难以在资源受限条件下微调超大模型。面对这种差距，我们提出了一种更具可行性的方案：通过 KTransformers 与 LLaMA-Factory 的 ...

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