AI 导读
🧵 3. 结构化数据 token 可以是传感器读数、交易记录、股票 tick、房价、电表脉冲或生物特征信号，而模型会保留表格和时间序列中的关系。 这就是为什么 1 个预训练模型可以被复用于预测、定价、欺诈检测、风险分析和故障预测。
正文
🧵 3. A structured-data token can be a sensor reading, transaction, stock tick, housing price, meter pulse or biometric signal, while the model preserves relationships within tables and time series.
That is how 1 pretrained model can be reused for forecasting, pricing, fraud detection, risk analysis and failure prediction.
来源：@rohanpaul_ai · x.com