需要微调模型却不想处理繁琐流程？今天就来试试 Crusoe 的无服务器微调服务！https://www.crusoe.ai/contact-sales/serverless-preview?utm_source=bycloud&utm_medium=influencer&utm_campaign=serverlessfinetuning
我的最新项目：直觉人工智能学院（Intuitive AI Academy） 我们刚刚发表了一篇关于优化的新文章！！ https://intuitiveai.academy/ 限时优惠码“LOCKIN”，年度计划可享 35% 折扣。
思维链（Chain-of-Thought）显得杂乱无章，那如果将其移除会怎样？在本视频中，我将深入探讨最新的架构实验——循环 Transformer（Looped Transformer）。大型语言模型（LLM）通常通过词语进行思考，而循环 Transformer 则通过循环复用相同的少数几层来模拟思考过程。
我的通讯订阅 https://mail.bycloud.ai/
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循环、思考与泛化：循环深度 Transformer 中的隐式推理 [论文] https://arxiv.org/abs/2604.07822
循环 RLM 的机制分析 [论文] https://arxiv.org/abs/2604.11791
Parcae：稳定循环语言模型的扩展定律 [论文] https://arxiv.org/abs/2604.12946
递归混合：学习动态递归深度以实现自适应令牌级计算 [论文] https://arxiv.org/abs/2507.10524
试试我最新最爱的编程学习平台 https://scrimba.com/?via=bycloudAI
本视频由以下慷慨的赞助者和 YouTube 会员支持：🙏 Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Discovery, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon, Lame Plane, Matej Macak, Len Mo, saylikhapekar, ZyanSheep, THEVIERAOS, Ricardo Raphael Corona-Moreno, superchordate
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