Agentic ML Exploration (A-MLE) for Ads Ranking
Agentic ML Exploration (A-MLE), an autonomous LLM-agent system that systematically explores ML techniques across a portfolio of ads ranking models, is presented and suggested that agentic exploration is a practical force multiplier for ML engineers in industrial recommenders.
Erwin Gao, Vinodh Kumar Sunkara, Jing Guan et al.
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