Where RL Will Take Search

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Official Description

Search is having its Bitter Lesson moment. By turning search into an RL problem, we can finally

scale search quality with compute! RL is extremely sample efficient when compared to classical

search training objectives and we see no ceiling to how far we can scale this new paradigm. We cover

the training of SID-1, the first RL-trained search model, and how search will look like post-RL.

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