字节跳动与清华大学合作推出时序多模态大模型ChatTS
在多模态大语言模型（MLLM）迅速发展的浪潮中，字节跳动与清华大学近日联合发布了名为 ChatTS 的新型时序多模态大模型。ChatTS 的推出不仅为时序数据的处理与推理注入了新活力，也填补了当前市场在这一领域的空白。该模型的开发旨在提升 AI 在时序数据问答与推理中的应用能力，尤其在 AIOps 与金融等需要处理复杂时序数据的场景中显得尤为重要。本次研究的主要作者是清华大学的三年级博士生谢哲，合作团队还包括来自字节跳动的李则言和何晓，指导教师则是字节跳动的研究科学家张
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