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English(EN) Google Research has unveiled Retrieve-for-Train (R4T), a new framework that uses reinforcement learning to train a diffusion retriever. The system generates all

Google Research 推出 R4T，AI 搜索结果速度提升 12-20 倍

作者 PulseAugur 编辑部 · [2 个来源] ·

Google Research 开发了 Retrieve-for-Train (R4T)，一个旨在增强搜索和推荐系统的新框架。R4T 采用强化学习训练一个扩散模型，该模型可以在单次传递中生成多个相关的搜索结果，与传统的自回归方法相比，显著降低了延迟。这种方法解决了释义崩溃和推理速度慢等问题，旨在提供更多样化和更可靠的结果。 AI

影响 通过提高查询扇出效率，可以显著加速 AI 搜索系统。

排序理由 详细介绍新 AI 框架和方法的论文。

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Google Research 推出 R4T，AI 搜索结果速度提升 12-20 倍

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报道来源 [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Google Research 推出 Retrieve-for-Train (R4T)：一种 RL 编译的扩散检索器，可实现 12 倍至 20 倍的查询扇出速度提升

    <p>Google Research has introduced Retrieve-for-Train (R4T), a framework for search that returns coherent, diverse result sets. It trains a fan-out language model with RL once, using groundedness, diversity, and alignment rewards. That model then synthesizes training data for a 53…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google Research 揭晓 Retrieve-for-Train (R4T)，一个使用强化学习训练扩散检索器的全新框架。该系统生成所有

    Google Research has unveiled Retrieve-for-Train (R4T), a new framework that uses reinforcement learning to train a diffusion retriever. The system generates all retrieval directions in a single pass, running 12-20x faster than traditional autoregressive methods. This breakthrough…

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