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Google DeepMind’s BlockRank could reshape how AI ranks information

Google DeepMind researchers have developed BlockRank, a new method for ranking and retrieving information more efficiently in large language models (LLMs). BlockRank is detailed in a new research paper, Scalable In-Context Ranking with Generative Models. BlockRank is designed to solve a challenge called In-context Ranking (ICR), or the process of having a model read a

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