首页|Reports on Artificial Intelligence Findings from University of Southern Californ ia Provide New Insights (Cost-efficient prompt engineering for unsupervised enti ty resolution in the product matching domain)
Reports on Artificial Intelligence Findings from University of Southern Californ ia Provide New Insights (Cost-efficient prompt engineering for unsupervised enti ty resolution in the product matching domain)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsreporting originating from the Univers ity of Southern California by NewsRx correspondents, researchstated, “Entity Re solution (ER) is the problem of semi-automatically determining when two entities referto the same underlying entity, with applications ranging from healthcare to e-commerce. Traditional ERsolutions required considerable manual expertise, including domain-specific feature engineering, as well asidentification and cur ation of training data.”
University of Southern CaliforniaArtif icial IntelligenceEngineeringMachine Learning
NETL
NSTL
