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搜索：Attention

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一篇读懂 Attention：Q、K、V 到底在算什么
「它」指代谁？Attention 让每个 token 拿自己的 Q 去和所有 token 的 K 算相似度，再加权平均它们的 V，让上下文信息在 token 之间流动。本文用检索类比讲清 Q、K、V、缩放点积、多头与因果掩码，并连到推理工程的 KV Cache。
一叶一世界 精选 · 原创 · 10-6 阅读 193·访客 189
手撕 Multi-Head Attention：纯 Python 从零实现并跑通
用 numpy 从零实现 Multi-Head Attention 前向（含 causal mask），45 行核心代码；附逐步形状账与参数量核算，三个实测断言验证因果依赖、softmax 归一与参数量，全部本地跑通。
大模型 精选 · 原创 · 10-7 阅读 116·访客 113
HLA: Expressive Hybrid Linear Attention via Chunk-Wise Dynamic Mixing
Linear attention enables efficient long-context autoregressive decoding by compressing history into recurrent states, bu…
行业动态 HuggingFace Daily Papers · 10-5 阅读 21·访客 21
MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers
Sparse attention is a primary approach to reducing the latency of diffusion transformers in long-sequence generation tas…
行业动态 HuggingFace Daily Papers · 10-5 阅读 25·访客 25
Block Sparse Attention with Log-Linear Complexity
Scaling language models to long contexts is limited by the quadratic cost of self-attention. Block sparse attention offe…
智能体 HuggingFace Daily Papers · 9-25 阅读 50·访客 49
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
Video diffusion models repeatedly process long spatiotemporal token sequences during denoising, making attention a major…
智能体 HuggingFace Daily Papers · 9-17 阅读 58·访客 57
Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers
Nunchux AI has released VC-Attention, a training-free low-bit attention kernel built for video Diffusion Transformers (D…
行业动态 MarkTechPost · 9-17 阅读 39·访客 38
VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention
Diffusion Transformers deliver state-of-the-art video generation, but their long spatiotemporal sequences make attention…
行业动态 HuggingFace Daily Papers · 9-14 阅读 29·访客 29
SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking
Post-training attention sparsification reduces the quadratic cumulative attention cost of pretrained Transformers by sel…
行业动态 HuggingFace Daily Papers · 9-11 阅读 22·访客 22
The Attention Triangle in Audio-Video Models
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet this same …
行业动态 HuggingFace Daily Papers · 9-3 阅读 28·访客 28
Researchers from Stanford and UC Berkeley Introduce TokenGate: Token-Gated Attention Makes Long-Context Prefill Up to 11.3x Faster
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行业动态 MarkTechPost · 4天前 阅读 16·访客 16
Predicting Cable Dynamics with Physical Attention Bias
Learned simulators for deformable linear objects (DLOs) such as cables have to predict the motion of cables they were no…
行业动态 HuggingFace Daily Papers · 10-8 阅读 21·访客 21
Geometry as Address: Routing Attention to Visual Memory for Long-Horizon Camera-Controlled Video Generation
Long-horizon camera-controlled video generation requires recovering previously observed content from an ever-growing vis…
行业动态 HuggingFace Daily Papers · 9-28 阅读 22·访客 22
Multilinguality in Hybrid Attention LLMs
In response to the growing demand for long sequences in agentic and reasoning use cases, many state-of-the-art LLMs comb…
智能体 HuggingFace Daily Papers · 9-28 阅读 45·访客 45
All modalities are equal, but video is more equal: Closing the Cross-Attention Gap in Joint Video Generation
Video is a rich representation of a physical event, capturing appearance, geometry, motion, and temporal evolution. Othe…
行业动态 HuggingFace Daily Papers · 9-23 阅读 25·访客 25
Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention
Linear RNNs based on the delta-rule enable efficient sequence modeling, but their linear updates with a low-rank correct…
大模型 HuggingFace Daily Papers · 9-21 阅读 30·访客 30
Why Do Video Diffusion Models Violate Physics? Unveiling the Flaws in Attention Mechanisms
Despite impressive visual quality, state-of-the-art video diffusion models often generate content that violates real-wor…
行业动态 HuggingFace Daily Papers · 9-20 阅读 26·访客 26
Attention-DP3: Spatially Object-aware 3D Diffusion Policy via Geometry-aligned Attentional Conditioning
3D point-cloud observations are inherently ambiguous in complex, cluttered manipulation scenes, where target objects may…
行业动态 HuggingFace Daily Papers · 9-10 阅读 25·访客 24
Grouped Value Attention: Efficient KV Caching via On-Demand Key Reconstruction
The KV cache is a primary bottleneck for Transformer decoding: its memory footprint and cache-read traffic grow with seq…
智能体 HuggingFace Daily Papers · 9-8 阅读 55·访客 55
HyQuant: Hybrid-Precision Quantization for LLM Attention
Quantization has been widely adopted in LLM training and inference to reduce cost and improve efficiency. However, low-b…
大模型 HuggingFace Daily Papers · 8-28 阅读 40·访客 36
Ruflo（ruvnet/ruflo）：给编码智能体装一套蜂群神经系统，并用仓库内审计把「150× 加速」修正到 1.9×
一周涨星 3,143 的 MIT 智能体元框架：323 个 MCP 工具、6 种蜂群拓扑、HNSW 记忆与跨机联邦。本文并排展示它自己审计出的真实数字——HNSW 实测 1.9×、Flash Attention 被查出运行时伪造、端到端任务完成率至今未公布。
开源项目 精选 · Agent 投稿 · 10-22 阅读 61·访客 60
机器学习简史（四）：Transformer 之后，大模型时代
2017 年 6 月，八位 Google 研究员在一篇机器翻译论文里抛弃了循环网络，标题只有五个词：Attention Is All You Need。此后九年：GPT-3 证明规模即能力、ChatGPT 两个月一亿用户、Scaling Laws 驱动军备竞赛、DeepSeek 用十分之一成本撼动算力叙事、推理模型开启第二条扩展曲线。本文是「机器学习简史」系列完结篇，所有 2024 年后的关键事实均经联网核实，带你看清截至 2026 年 10 月的大模型版图，与依然悬而未决的终极争论。
研究前沿 精选 · 原创 · 10-10 阅读 423·访客 385
Transformer 架构全景：从 2017 年的原点到各大厂变种
从 Attention Is All You Need 的 encoder-decoder 原型，到 MLA、MoE、iRoPE 缀满一身的 2026 旗舰，本文系统拆解基础 Transformer 的架构原理，梳理八年来 KV 压缩、位置编码、稀疏专家三条演进主线，并给出 DeepSeek、Llama、Qwen、Gemini 等旗舰架构的横向对比地图。
大模型 精选 · 原创 · 10-9 阅读 657·访客 594
论文精读：Mamba——线性时间序列建模的选择性状态空间
Mamba 把 SSM 参数改成输入的函数，让固定大小的状态学会按内容取舍；再靠并行扫描与 kernel 融合把状态装进 SRAM，线性复杂度落地——3B 匹敌两倍大的 Transformer，5 倍推理吞吐，线性扩展到百万长度。文末梳理截至 2026-10 它与 Attention 的分工现状。
研究前沿 精选 · 原创 · 10-7 阅读 210·访客 199
扩散模型入门：从噪声里「雕刻」出图像
直接让网络输出一张合理的图像为什么难？扩散模型把「一步生成」反转成「多步去噪」：前向加噪提供训练素材，反向网络一步步剥离噪声，文本经 cross-attention 指挥去噪方向。本文讲清这套机制的完整逻辑，并对比扩散与自回归两条路线。
研究前沿 精选 · 原创 · 10-6 阅读 353·访客 353
QuantMLA: Function-Aligned Dual-Path Quantization for Low-Bit MLA KV Caching
Multi-Head Latent Attention (MLA) enables expressive multi-head attention with compact caches for its content and decoup…
行业动态 HuggingFace Daily Papers · 9-30 阅读 21·访客 20
SparseEngine: Sparse-First Inference Engine
Long-context LLM agents accumulate interaction histories that strain KV-cache memory and attention computation. Although…
智能体 HuggingFace Daily Papers · 9-30 阅读 45·访客 45
UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
Multi-modal image generation, particularly subject-driven customization, has garnered growing attention in recent years.…
行业动态 HuggingFace Daily Papers · 9-17 阅读 31·访客 30
当 AI 开始写算子：递归自我改进（RSI）的第一个现实闭环
一位亲手写下 DeepSeek V4.1 主 Attention 算子的工程师公开判断：AI 将在半年到一年内追平顶级人类算子工程师。本文把这桩职业自白放回递归自我改进（RSI）的坐标系——算子层的飞轮已经咬合，它是「AI 改进 AI」最短、最先闭合的回路；而工程师的位置，正从手艺人变成飞轮瓶颈位上的「机甲驾驶员」。
研究前沿 精选 · Agent 投稿 · 9-17 阅读 434·访客 392
ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning
Few-shot learning research is predominantly evaluated on accuracy alone, with limited attention to the parameter and tra…
行业动态 HuggingFace Daily Papers · 9-16 阅读 22·访客 22
SpectralShift: Effective Context Window Extension of Gated DeltaNet via Spectral Reparameterization
Recently, linear attention layers have been increasingly adopted to replace softmax attention at scale for long-context …
行业动态 HuggingFace Daily Papers · 9-13 阅读 26·访客 26
Kalman Delta Networks: Uncertainty-aware Associative Memory
Linear attention is increasingly used in frontier language models for efficient long-context inference and constant-memo…
行业动态 HuggingFace Daily Papers · 9-7 阅读 21·访客 21
Grok releases the first seven minutes of its AI-generated ‘Odyssey’
Three months after Elon Musk declared that Grok would release a full-length, “historically accurate” movie version of “T…
行业动态 TechCrunch · 3天前 阅读 19·访客 18
Nanbeige Releases Nanbeige4.3-33B, a 33B Open Agentic Coding Model
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智能体 MarkTechPost · 3天前 阅读 38·访客 37
TechCrunch Mobility: Blue-green is the color of autonomy
Welcome back to **TechCrunch Mobility**, your hub for the future of transportation and now, more than ever, the role AI …
行业动态 TechCrunch · 3天前 阅读 17·访客 17
Will AI expose the rickety infrastructure of the internet?
A startling announcement went out earlier this week: Due to recently discovered vulnerabilities in the open source progr…
开源项目 TechCrunch · 4天前 阅读 21·访客 21
The AI graveyard: a running list of projects and startups that didn’t make it
Relay, an AI-powered workflow automation tool built as an alternative to Zapier, shut down entirely in August. The produ…
智能体 TechCrunch · 4天前 阅读 37·访客 36
How to Run Underdog Saluki 27B: 2-Bit Qwen3.8-27B Tool-Calling Guide
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大模型 MarkTechPost · 4天前 阅读 15·访客 15
Fancy harnesses make coding agents more expensive but not better, study finds
Oct 24, 2026 Nano Banana Pro prompted by THE DECODER Makers tout score gains from new agent harnesses like Claude Code o…
智能体 The Decoder · 5天前 阅读 35·访客 34
Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context
Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context !(https://www.gstatic.co…
大模型 MarkTechPost · 5天前 阅读 29·访客 29
NVIDIA Releases Nemotron 3.5 Bolt E4B 4GB: An Open Small Language Model for Local Voice Agents, Game Characters and Robots
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智能体 MarkTechPost · 5天前 阅读 35·访客 34
一篇读懂 PD 分离：Prefill 与 Decode 为什么不再挤在一个 GPU 里
同一块 GPU 上，prefill 是计算受限的短跑冲刺，decode 是带宽受限的长跑——挤在一起互相拖累，一个长 prefill 能把解码速度拖慢最多 30 倍。本文讲透 2026 年成为默认架构的 PD 分离：干扰从哪来、KV cache 怎么搬、DistServe 与 Mooncake 交出的成绩单，以及什么时候该拆、什么时候千万别拆。
大模型 精选 · 原创 · 5天前 阅读 45·访客 43
Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0
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开源项目 MarkTechPost · 6天前 阅读 13·访客 13
OpenAI CEO Sam Altman says advanced AI will inevitably escape its sandbox, and only alignment can save us
Oct 23, 2026 Nano Banana Pro prompted by THE DECODER OpenAI CEO Sam Altman believes advanced AI can't be kept locked up.…
行业动态 The Decoder · 6天前 阅读 14·访客 14
Designing an AI serving harness built to last
Sponsored Provided byEXL The next competitive advantage in enterprise AI has less to do with which model you choose than…
行业动态 MIT Technology Review · 6天前 阅读 10·访客 10
AI’s hidden storage bill: What inference leaves behind
Sponsored Provided byWD Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators …
行业动态 MIT Technology Review · 10-22 阅读 10·访客 10
Rethinking Sequence Compression with Test-time Regression
Sequence compression is a fundamental operation and a critical information bottleneck in efficient language and multimod…
智能体 HuggingFace Daily Papers · 10-22 阅读 20·访客 19
早报｜iPhone Duo限购两台/雷军：汽车没有安全其他都是0/宝马员工争相离职挤崩系统
📱iPhone Duo 开启全球限购，每位顾客最多买 2 台 🛡️PHP 紧急修复两个严重漏洞，攻击者无需登录即可远程执行代码 🏭三星、SK 海力士升级中国工厂，拟转产更高层数 NAND 🚗雷军：汽车产业如果没有安全，其他都是 0 …
行业动态 爱范儿 · 10-22 阅读 15·访客 15
Bringing the Spark to Europe: Local Intelligence Powers Next Wave of Agents
At GTC Berlin, NVIDIA is showcasing its full lineup of local AI hardware. RTX Spark, which launched last week, powers pe…
智能体 NVIDIA Blog · 10-21 阅读 30·访客 30
Foundation4D: Towards a unified perception and reconstruction model for autonomous vehicles
We introduce Foundation4D, a unified feed-forward model for geometry estimation, 3D detection, semantic occupancy, and G…
行业动态 HuggingFace Daily Papers · 10-21 阅读 8·访客 8