LLM 工程实战全流程拆解，系统掌握核心机制与优化技巧：• Tokenizati
LLM 工程实战全流程拆解，系统掌握核心机制与优化技巧：• Tokenizati
爱生活爱珂珂的文章
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[人人能懂] 绘制意义地图、反刍知识与打破秩序今天，我们将一起探索AI的几项惊人
[人人能懂] 绘制意义地图、反刍知识与打破秩序今天，我们将一起探索AI的几项惊人
“GPU与TPU怎么选？”不能只看性能差异，而是要全面考量生态与成本。• 硬件指
“GPU与TPU怎么选？”不能只看性能差异，而是要全面考量生态与成本。• 硬件指
《Towards an AI-Augmented Textbook》教科书的未来
《Towards an AI-Augmented Textbook》教科书的未来
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[LG]《Hierarchical Self-Attention: Genera
[LG]《Hierarchical Self-Attention: Genera
![[CL]《Synthetic bootstrapped pretraining》](http://dayu-img.uc.cn/columbus/img/oc/1002/ad8375a7ec18408e3103da61802a3f1a.jpg)
[CL]《Synthetic bootstrapped pretraining》
[CL]《Synthetic bootstrapped pretraining》
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[LG]《Kuramoto Orientation Diffusion Mode
[LG]《Kuramoto Orientation Diffusion Mode
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[LG]《Latent learning: episodic memory co
[LG]《Latent learning: episodic memory co
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[LG]《Latent Zoning Network: A Unified Pr
[LG]《Latent Zoning Network: A Unified Pr
![早！[太阳] 早安 ](http://dayu-img.uc.cn/columbus/img/oc/1002/77d21f8ea65819c2a41a091dd20370e4.jpg)
早！[太阳] 早安
早！[太阳] 早安
《Post-training 101: A hitchhiker's guide
《Post-training 101: A hitchhiker's guide
AI 模型更新速度远超想象，几乎每天都有新突破：• 新模型发布节奏加快，技术迭代
AI 模型更新速度远超想象，几乎每天都有新突破：• 新模型发布节奏加快，技术迭代
新书《Sutskever’s List》，精读30篇论文洞悉 AI 90%核心知
新书《Sutskever’s List》，精读30篇论文洞悉 AI 90%核心知
从人类可读转向大语言模型（LLM）可读的知识表达，开启了AI教育与知识应用的全新
从人类可读转向大语言模型（LLM）可读的知识表达，开启了AI教育与知识应用的全新
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[LG]《Emergent Alignment via Competition》
[LG]《Emergent Alignment via Competition》
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[LG]《The Sum Leaks More Than Its Parts:
[LG]《The Sum Leaks More Than Its Parts:
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[LG]《LiMuon: Light and Fast Muon Optimiz
[LG]《LiMuon: Light and Fast Muon Optimiz
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[CL]《Shutdown Resistance in Large Langua
[CL]《Shutdown Resistance in Large Langua
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[CL]《Scaling Agents via Continual Pre-tr
[CL]《Scaling Agents via Continual Pre-tr
![早！[太阳] 早安 ](http://dayu-img.uc.cn/columbus/img/oc/1002/23c1b4b9938499f7d1f154052f6e6882.jpg)
早！[太阳] 早安
早！[太阳] 早安
作者信息
