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How LinkedIn Uses Machine Learning to Address Content-related Threats and Abuse
Jan. 4, 2024, 7 p.m. | Sergio De Simone
InfoQ - AI, ML & Data Engineering www.infoq.com
To help detect and remove content that violates their standard policies, LinkedIn has been using its AutoML framework, which trains classifiers and experiments with multiple model architectures in parallel, explain LinkedIn engineers Shubham Agarwal and Rishi Gupta.
By Sergio De Simoneabuse ai architectures automl classifiers devops engineers framework gupta information security linkedin machine machine learning ml & data engineering multiple shubham agarwal standard threats trains
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