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A Supervisor Agent can mediate conflicts in LLM outputs, leading to substantial accuracy improvements in e-commerce catalog enrichment.
DRIFT not only sets a new state-of-the-art in self-improvement for language models but also redefines how we can dynamically adapt learning strategies based on problem difficulty.
Generative recommendation can beat DLRM in large-scale advertising, driving a 4.2% revenue lift in Kuaishou's production system via innovations in tokenization, decoding, optimization, and serving.
