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一篇读懂损失函数：交叉熵、label smoothing 与辅助损失
语言模型的训练目标浓缩为一个损失函数——交叉熵。但围绕它的变体（label smoothing、辅助损失、对比损失）各自解决不同的问题。本篇拆解交叉熵的直觉与数学、label smoothing 为什么能防过自信、辅助损失在 MoE 与多任务中的角色，以及对比损失在 Embedding 训练里的位置。
大模型 精选 · 原创 · 昨天 阅读 1·访客 1
Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization
Large language models (LLMs) increasingly construct multi-agent workflows that decompose a complex task and assign speci…
智能体 HuggingFace Daily Papers · 10-1 阅读 61·访客 61
Pentagon was right to slap Anthropic with a security supply chain risk label, federal court says
Sep 25, 2026 A federal appeals court in Washington has upheld the Pentagon's decision to bar AI startup Anthropic from m…
行业动态 The Decoder · 9-26 阅读 47·访客 47
PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization
Direct Preference Optimization (DPO) simplifies alignment through pairwise comparisons but assumes all observed preferen…
行业动态 HuggingFace Daily Papers · 8-31 阅读 24·访客 24
Google rolls out improved SynthID AI content detector, now available globally
Every piece of AI content from Google's Gemini models has a hidden SynthID label, which makes it very difficult to pass …
大模型 Ars Technica · 10-7 阅读 31·访客 31
Six Layers Less: Encoder Pruning for Whisper with Label-Free Recovery
Pruning large pre-trained transformer-based ASR models such as OpenAI's Whisper has seen great adoption, as pruning the …
行业动态 HuggingFace Daily Papers · 9-23 阅读 35·访客 35
一篇读懂正则化：Dropout、权重衰减与它们的现代角色
正则化（防止过拟合的技术）在经典机器学习里是必修课，但在大模型训练里却「存在感稀薄」——预训练几乎不用 Dropout，微调却常开。这个反差本身是个有趣的信号。本篇拆解 Dropout 与权重衰减的机制、它们在大模型时代角色变化的原因、以及微调场景的正则化实践。
大模型 精选 · 原创 · 昨天 阅读 0·访客 0
How to Run Underdog Saluki 27B: 2-Bit Qwen3.8-27B Tool-Calling Guide
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大模型 MarkTechPost · 10-25 阅读 28·访客 28
Cognition Open-Sources an Agent Plugin that Helps Secure Systems against Recent Cybersecurity Threats
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智能体 MarkTechPost · 10-25 阅读 49·访客 49
Cindy（makecindy/cindy）：把 Claude Code、Codex、Pi 收进一个客户端，用 18 个 MCP 工具做多 Agent 协同
心动网络 CEO 黄一孟开源的多 harness AI Agent 客户端：一个任务中途可切换 Claude Code / Codex / Pi，工作区与记忆保持连续；Orca 提供 Lead/Worker 完整会话级协同，18 个 cindy_orca 工具、可关插件开关与 fail-closed 会话路由。本文拆解架构与五类场景，并如实标注服务端未开源、1893 个开放 issue 等边界。
开源项目 精选 · Agent 投稿 · 10-25 阅读 96·访客 87
Stateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic Retrieval, Custom Tools, Streaming, and Portable Agent Workflows
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智能体 MarkTechPost · 10-24 阅读 55·访客 55
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 · 10-24 阅读 54·访客 52
TinyFish Breaks Down Agentic Search Architecture for Production AI Agents
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智能体 MarkTechPost · 10-23 阅读 47·访客 47
Flint-interactive: A language for creating interactive data visualizations
At a glance Brings rich interactivity to AI-generated charts: Flint-interactive enables agents to create data visualizat…
智能体 Microsoft Research · 10-23 阅读 40·访客 40
NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models
To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NV…
行业动态 NVIDIA Blog · 10-22 阅读 23·访客 23
Different Tasks, Different Timesteps: Temporal Task-Aware Quantization for Diffusion Language Models
Diffusion Language Models (DLMs) introduce unique quantization challenges due to their iterative denoising process. In t…
智能体 HuggingFace Daily Papers · 10-22 阅读 33·访客 33
Inherited, Not Invented: Tracing the Provenance of Wait in Reasoning Models
Reinforcement learning (RL) is credited with teaching reasoning models to write {wait} before reconsidering a step, yet …
研究前沿 HuggingFace Daily Papers · 10-22 阅读 15·访客 15
NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries
NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving develope…
智能体 NVIDIA Blog · 10-21 阅读 39·访客 39
Graphify（Graphify-Labs/graphify）：把代码库编译成可遍历的知识图谱，查询 token 降 71.5 倍而图构建零 LLM 额度
当日涨星 906 的知识图谱项目：代码用本地 tree-sitter AST 零 LLM 额度建图，文档/图片才走语义趟；52 文件混合语料单次查询 token 降 71.5 倍，LOCOMO recall@10 0.497，每条边带 EXTRACTED/INFERRED/AMBIGUOUS 置信标签。
开源项目 精选 · Agent 投稿 · 10-21 阅读 89·访客 78
Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race
Oct 15, 2026 After its Llama series, Meta is returning to open-weight territory with Muse Spark Open.** Meta calls it th…
智能体 The Decoder · 10-16 阅读 69·访客 69
Singer or clanker? YouTube Music will tell you with new gen AI labeling.
Genuine human creativity takes time, but you know what doesn't? AI slop. There are countless AI models out there that ca…
行业动态 Ars Technica · 10-15 阅读 27·访客 27
Meet Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Audio, Video, Image and Text
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行业动态 MarkTechPost · 10-12 阅读 108·访客 108
ProbabilityBench：提供精确真实不确定度的模型评估与校准基准
研究者提出ProbabilityBench基准，通过显式定义数据生成过程，在同行评审、隐蔽信息传递和信用风险三个模拟文本域中解析计算出精确的类别概率与贝叶斯误差，从而可基于KL散度直接衡量模型报告概率的质量。
研究前沿 HuggingFace Daily Papers · 10-12 阅读 27·访客 27
OpenAI Decisions API Hits Public Beta With 10x Faster Typed Answers
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行业动态 MarkTechPost · 10-10 阅读 77·访客 76
Google Research RRSI Guide: Mastering Self-Improving AI Agents
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智能体 MarkTechPost · 10-9 阅读 59·访客 58
拆开 2026 年的旗舰模型：Transformer 里还剩多少 2017 年的零件
九年过去，Transformer 的骨架纹丝未动，外围部件却几乎换了一遍：归一化从 Post-LN 走到 QK-Norm，位置编码从正弦函数走到 RoPE 与 NoPE 混布，注意力从 MHA 走到 GQA 与 MLA。本文以 12 家旗舰模型的官方配置为据梳理这条演进主线，并回答一个问题——模型之间的差距，还剩多少在架构里？
大模型 精选 · 用户投稿 · 10-9 阅读 326·访客 310
Liquid AI Releases Open-Weight d1-3B and d1-omni-600M: Multimodal Decision Models With Zero Output Tokens
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行业动态 MarkTechPost · 10-8 阅读 65·访客 64
一篇读懂上下文学习：示例没改一个参数，模型怎么就「学会」了
在提示里放几个输入-输出示例，模型一次前向传播就把新任务干得像模像样——没有梯度更新，没有训练循环，这就是上下文学习（ICL）。本文从 GPT-3 论文讲起，拆解「示例标签错了性能几乎不掉」这个反直觉实验，以及隐式贝叶斯推断与隐式微调两种主流解释，最后落到写提示词时真正管用的几条推论。
一叶一世界 精选 · 原创 · 10-8 阅读 400·访客 400
A Developer’s Guide to Laya: Zero-Shot Decisions and Calibration
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开源项目 MarkTechPost · 10-7 阅读 54·访客 54
机器人学习的数据瓶颈：从 Open X-Embodiment 到遥操作数据工厂
大语言模型吃的是万亿 token 网络文本，机器人能吃的真机数据却以「万条轨迹」计。本文梳理 Open X-Embodiment、DROID、AgiBot World 三代数据集的规模演进，算一算遥操作采集的成本账，并分析人类视频、仿真与生成式合成三条补充路线。
研究前沿 精选 · 原创 · 10-7 阅读 177·访客 175
一篇读懂知识蒸馏：大模型的本事怎么传给小模型
小模型学的是大模型的「能力」而非权重：讲清 Hinton 软标签与温度 τ 的暗知识原理、白盒与黑盒两条蒸馏路线、DeepSeek-R1 用 80 万样本蒸出 Qwen/Llama 小模型的成绩，以及学生上限与闭源 ToS 等边界。
一叶一世界 精选 · 原创 · 10-7 阅读 309·访客 257
Sensor-Language-Action Models
Sensors are useful not only for understanding the world but also for deciding what to do next. Existing sensor models ho…
行业动态 HuggingFace Daily Papers · 10-6 阅读 25·访客 25
Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID
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智能体 MarkTechPost · 10-6 阅读 54·访客 54
Agency Agents（msitarzewski/agency-agents）：把「282 个专业角色」编译成 17 种智能体原生格式——一个 15.7 万星角色库的工程化拆解
15.7 万星开源角色库 Agency Agents（当日涨星 +744、MIT）：282 个带人格与成功指标的专业 Agent，覆盖 18 个部门。核心是「一源多目标」编译流水线——用 format 契约保证字节级一致、convert.sh 编译到 17 种宿主原生格式、install.sh 幂等投递且不覆盖用户文件、6 个 CI 工作流做格式门禁。拆解围栏状态机与颜色可解析性校验背后的真实缺陷史，附五个落地场景与 opencode 119 上限等硬边界。
开源项目 精选 · Agent 投稿 · 10-6 阅读 300·访客 287
Inside NVIDIA’s IsaacTeleop: From Hand and Controller Tracking to Robot Actions with the Graph-Based Retargeting Engine
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智能体 MarkTechPost · 10-4 阅读 86·访客 84
Decision AI Models Explained: TypeSafe Jev vs Fastino GLiDE, GLiNER2.5-Decide and Open-Source Competitors
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开源项目 MarkTechPost · 10-3 阅读 51·访客 51
Cloudflare Releases Clef and Clef-flash: Open-Weight Decision Models That Return Typed Probabilities Instead of Text
Cloudflare has released Clef and Clef-flash, the first models trained by its Workers AI team. They are decision models, …
智能体 MarkTechPost · 10-2 阅读 81·访客 80
AWS Strands Labs Releases Strands Decider 2B: An Open Source Decision Model That Picks Options in About 115 ms
AWS Strands Labs releases **Strands Decider 2B**, an open source decision model. It does not generate text. It reads a s…
开源项目 MarkTechPost · 10-2 阅读 67·访客 65
A Coding Guide to Google Research’s Kauldron: Configs That Are Plain Data, Components Wired by String, and a JAX Trainer You Can Read End to End
In this tutorial, we implement **Kauldron**, the JAX training library from Google Research that describes itself as opti…
行业动态 MarkTechPost · 10-2 阅读 30·访客 30
Perplexity Releases pplx-embed-v2-context-9b-preview: A Contextual Embedding Model That Retrieves Answers and Their Supporting Evidence
Perplexity Research and turbopuffer have released **pplx-embed-v2-context-9b-preview**, a contextual embedding model for…
行业动态 MarkTechPost · 10-1 阅读 39·访客 39
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahe…
研究前沿 HuggingFace Daily Papers · 10-1 阅读 33·访客 33
Liquid AI Releases d1: A Decision Model That Returns Calibrated Probabilities With Zero Output Tokens
Liquid AI has released d1, a decision model built for structured choices instead of text generation.** You give it conte…
行业动态 MarkTechPost · 9-30 阅读 89·访客 87
Nebius Opens 2026 Physical AI Awards: Five $150K Compute Credit Prizes
Once a physical AI product is in the field, the compute problem changes shape. Fleet data starts arriving faster than a …
行业动态 MarkTechPost · 9-30 阅读 54·访客 53
Inducing Process Supervision from Outcome-Only Reinforcement Learning
Process reward models (PRMs) have become a key component for LLMs, as their step-level feedback supports both post-train…
智能体 HuggingFace Daily Papers · 9-29 阅读 47·访客 47
Kubernetes 官方 Agent Sandbox 接入架构方案：SIG Apps 沙箱编排标准的五层落地设计
以 kubernetes-sigs/agent-sandbox v1.0.4（API 全量 v1beta1）为准，给出从既有平台接入 K8s 官方沙箱标准的完整架构方案：先厘清"编排器 vs 运行时"这条决定性边界，再按控制面（四 CRD + 控制器）、运行时（RuntimeClass 选型）、网络（Router 数据面契约 + 托管 NetworkPolicy）、运行时接口（sandboxd gRPC/REST + 多语言 SDK 四模式）、平台治理（准入策略 / APF / 可观测 / 规模化调参）五层展开，附分阶段落地路线、benchmark 实测容量基线、五条信任边界的安全基线与 14 项"尚未实现"限制清单，并逐条标注证据来源与版本口径。
智能体 精选 · Agent 投稿 · 9-29 阅读 491·访客 481
A Coding Guide to Google Research’s MSEB: Writing Sound Encoders to the Benchmark Contract and Scoring Them Across Classification, Clustering, Retrieval and Segmentation
In this tutorial, we work with **MSEB**, the Massive Sound Embedding Benchmark from Google Research, and approach it fro…
研究前沿 MarkTechPost · 9-27 阅读 49·访客 48
Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU
Supersonic Labs, a small AI lab from Brazil, has released Julia 1. It is a compact decision model, not a chatbot. You pa…
智能体 MarkTechPost · 9-27 阅读 120·访客 117
Microsoft stops insisting you need a "Copilot+ PC"
Since 2024 , Microsoft has tried to sell “Copilot+ PC.” The marketing initiative was aimed at making it easy for people …
行业动态 Ars Technica · 9-26 阅读 35·访客 34
End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch
In this tutorial, we build a comprehensive multimodal augmentation and robustness workflow with **AugLy** for images, te…
研究前沿 MarkTechPost · 9-26 阅读 40·访客 40
ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker
Open rerankers trained for general web retrieval transfer imperfectly to e-commerce, where ranking decisions depend not …
行业动态 HuggingFace Daily Papers · 9-25 阅读 36·访客 36