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improvement and optimization never stop - revealing the contemporary female torture instruments and duckbill pliers - why it has not been more friendly for hundreds of years ROE， heat: ROE login - qimi academy - powerful online education solutions - ROE this article introduces in detail the process of optimizing the recall model of the artificial intelligence big model, which is mainly divided into two steps. step 1. data collection and preprocessing data collection are the basis of the artificial intelligence big model. it is necessary to collect user behavior data and item attribute data, as well as the relationship between users and items. preprocessing includes data cleaning, data normalization, data participle, data annotation, and construction of training sets, verification sets, test sets, etc. data cleaning aims to improve data quality, data normalization eliminates the impact of the data's dimensions and scales, and data segmentation...
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