字节跳动研究开源 ChatTS-14B:原生理解并随着时间的推移进行推理
字节跳动研究团队宣布开源 ChatTS-14B，这是一款专为时间序列数据理解和推理设计的140亿参数大型语言模型（LLM）。以 Apache2.0许可协议发布，ChatTS-14B 的开源引发了 AI 社区的广泛关注，被认为是时间序列分析与生成式 AI 结合的重大进展。ChatTS-14B:时间序列的智能对话引擎ChatTS-14B 基于 Qwen2.5-14B-Instruct 模型进行微调，专为处理时间序列数据而设计，能够理解和推理复杂的时序数据模式。不同于传统时间序列分析工具，ChatTS-14B 支持用户通过自然语言与时间序列数据交互，例如分析金融市场趋
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