Robotics & Machine Learning Daily News2024,Issue(Aug.30) :123-123.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :123-123.

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)

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Abstract

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.”

Key words

University of Southern California/Artif icial Intelligence/Engineering/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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