LinkLoomAI Editorial

The Decoder(Jonathan Kemper)

综合资讯模型与权重昨天 17:26

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Google's new AI model predicts the future from sales data, weather, and discount schedules

AI 摘要

模型生成,可能有偏差;请以原文为准

Google Research 发布时间序列预测模型 TimesFM-3,参数量为 3.3 亿(330M),支持结合天气预报、打折排期等已知未来事件进行协同预测。该模型采用单次前向直接生成所有未来时间点预测值,避免了逐步自回归预测带来的计算开销与误差累积。该模型为零售销售预测、供应链管理等时序分析场景提供了高效率的端到端解决方案。

正文

Melting ice flows toward shops, calendars, and discount icons, symbolizing rising sales during the summer season.

Google Research has released TimesFM-3, a forecasting model that analyzes time series alongside related data and known future events like sales promotions or weather forecasts. Instead of predicting the future step by step, the 330-million-parameter model fills in all future time points in a single pass, which cuts compute time and reduces compounding errors.

The article Google's new AI model predicts the future from sales data, weather, and discount schedules appeared first on The Decoder.

模型发布Google
Google's new AI model predicts the future from sales data, weather, and discount schedules · LinkLoom