字節跳動研究開源 ChatTS-14B:原生理解並隨着時間的推移進行推理
字節跳動研究團隊宣佈開源 ChatTS-14B，這是一款專爲時間序列數據理解和推理設計的140億參數大型語言模型（LLM）。以 Apache2.0許可協議發佈，ChatTS-14B 的開源引發了 AI 社區的廣泛關注，被認爲是時間序列分析與生成式 AI 結合的重大進展。ChatTS-14B:時間序列的智能對話引擎ChatTS-14B 基於 Qwen2.5-14B-Instruct 模型進行微調，專爲處理時間序列數據而設計，能夠理解和推理複雜的時序數據模式。不同於傳統時間序列分析工具，ChatTS-14B 支持用戶通過自然語言與時間序列數據交互，例如分析金融市場趨
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