谷歌 AI 推出 TimesFM-2.5：更小巧且具备长上下文的时间序列预测基础模型
谷歌研究团队近日发布了 TimesFM-2.5，这是一个具有2亿参数、解码器单一结构的时间序列基础模型。与前一版本相比，TimesFM-2.5在参数数量上大幅减少，从500M 降低到200M。同时，这款新模型的上下文长度得到了显著提升，达到了16，384个数据点。此外，TimesFM-2.5还支持本地概率预测，现已在 Hugging Face 平台上线，并在 GIFT-Eval 的准确性评估中名列前茅。时间序列预测是指对随时间变化的数据点进行分析，以识别模式并预测未来的值。它在各个行业中发挥着关键作用，包括零售商品需求预测、天
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