AI 教程与实战
收录 AI 工具教程、提示词、安装部署、配置指南、开发实战与可复现步骤。
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教程 / 实战普通
如何在 Databricks 上构建基于智能体的安全审查系统
一位工程师在 Databricks 上搭建了基于智能体的安全审查层,用 Unity Catalog、Databricks 托管基础模型(Claude Haiku、Sonnet、Opus)、Lakeflow Jobs 和 Databricks Apps 打通请求受理、推理、编排、证据留存与指标观测,不到两小时即得到可用系统。
信息来源:Databricks:Blog(RSS) · Claude
教程 / 实战普通
爱奇艺 CEO 龚宇:AI 是内容的加分项,不是搭建流水线的工具
爱奇艺创始人、CEO 龚宇在 2026 爱奇艺 iJOY 秋季悦享会上提出,爱奇艺 AI 战略有三大重点:All in AI 赋能实拍影视长片及 AIGC 长片、建设内容创作者生态、探索 AI 催生的新形态作品。他强调 AI 是内容的加分项,不是搭建流水线、生产工业化标准化产品的工具,不降质是底线。爱奇艺 App 互动频道已上线,并已初步尝试由自然语言与 AI 交互生成小游戏或交互应用。
信息来源:IT之家(RSS)
教程 / 实战普通
Google Gemini Expands Connected Apps With Adobe, Squarespace and Peloton Workflows
Google is expanding Gemini's ability to work with third-party services through a new wave of...
信息来源:DEV Community · Gemini
教程 / 实战普通
Inherited Memory Helped My Flies Until the World Changed. Then a Blank Slate Beat Them.
I let a fruit fly lineage inherit its ancestors' memory across generations, then moved the descendants into a harsher world. The memory that built them became the thing that got them killed.
信息来源:DEV Community
教程 / 实战普通
I vibe-coded a Next.js knowledge base that argues with itself
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
信息来源:DEV Community
教程 / 实战普通
I built an agent that refuses to answer Next.js from stale docs
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...
信息来源:DEV Community
教程 / 实战普通
TypeSafe AI 的 System One 模型 Jev 编程指南:类型化决策、置信度与投机式批量提问
这篇教程演示 TypeSafe AI 的首个 System One 模型 Jev 的用法,该模型不生成文本,而是对程序状态返回 Choice、Score、Noul 三种类型化判断供代码直接分支。
信息来源:MarkTechPost(RSS)
教程 / 实战普通
I gave myself twenty green checkmarks in three days. Most of them were lies.
Notes from an AI agent that kept writing tests that could not fail Rule I followed: every...
信息来源:DEV Community
教程 / 实战普通
Harness Engineering: as 5 camadas do agent - memory, context, skills, agents e tools
Imagina um piloto de Fórmula 1 sentado num banco de praça. Ele sabe pilotar. Mas sem o carro, sem o...
信息来源:DEV Community
教程 / 实战普通
Google AI Mode Reduced Publisher Clicks in a Controlled Search Experiment
Google AI Mode reduced external clicks to publishers by 18.8 percentage points compared with standard...
信息来源:DEV Community
教程 / 实战普通
用随机 Hessian 估计实现全参考图像质量指标的率失真优化
研究者提出 IDQD-RDO,用输入相关的二次失真近似 MS-SSIM、LPIPS 等全参考图像质量指标,通过自动微分得到的 Hessian 矩阵-向量积估计其块对角或纯对角形式,使这类指标可逐块计算并用于 VVC 编码的率失真优化。在 Kodak 和 CLIC 上的五种指标测试中,该方法取得 14.2-36.7% 的 BD-rate 节省,无需改动解码器,编码复杂度仅增加 10-30%。
信息来源:HuggingFace Daily Papers(社区热门论文) · Hugging Face
教程 / 实战精选
OpenRouter 解析 Kimi K3:开源权重与许可证条款,以及如何调用
OpenRouter 撰文说明 Kimi K3 是开放权重而非开源模型,Moonshot AI 以自定义 Kimi K3 License 在 Hugging Face 发布 moonshotai/Kimi-K3。
信息来源:OpenRouter:Announcements(RSS) · Kimi / Hugging Face
教程 / 实战普通
Is GEO only in our heads, or something real?
I was deep in thought about how much of a model hallucination is RLHF-based assumption in the absence...
信息来源:DEV Community
教程 / 实战普通
Revisiting the Toyota Production System (TPS) in the Age of Coding Agents
Software has borrowed a surprising amount from manufacturing. Not from manufacturing in the sense of...
信息来源:DEV Community
教程 / 实战普通
My factual-recall tasks were scoring format, not facts
I built a detector that decides whether a day's drift run contains anything worth writing up. The first thing it did was accuse my own suite. One task, `fact-element`, had failed o
信息来源:DEV Community
教程 / 实战普通
Shipping my first mobile app: what an operations leader learned taking PromptSpend to iPhone and Android
What it took to go from a working web tool to an app strangers can install, and what real phones caught that tests didn't.
信息来源:DEV Community
教程 / 实战普通
How I Would Build a Private AI Coding Workstation in 2026
In 2026 the cloud coding assistants got faster, friendlier, and more expensive in that quiet...
信息来源:DEV Community
教程 / 实战普通
Cloudflare Separates AI Training From Search Indexing With New Crawler Controls
Cloudflare has introduced new AI-crawler controls designed to solve a growing problem for website...
信息来源:DEV Community
教程 / 实战普通
An AI Agent Swarm Hit 440 PaperCut Servers in 26 Seconds Per Target. The Education Sector Didn’t Stand a Chance.
The attack didn’t start with a phishing email. It didn’t start with a social engineering call. It...
信息来源:DEV Community
教程 / 实战普通
Building a Fraud Investigator on TigerGraph
TL;DR: We built an agent that investigates card fraud on a TigerGraph knowledge graph. It gathers...
信息来源:DEV Community
教程 / 实战普通
Uptime Is Not an Agent SLO
An agent endpoint returns HTTP 200 in 99.95% of requests. The service is “up.” Meanwhile, some...
信息来源:DEV Community
教程 / 实战普通
Anthropic 复盘如何让 claude.ai 和桌面应用快 3 倍
Anthropic 团队在两周冲刺中把 claude.ai 和 Claude 桌面应用的核心体验提速约 3 倍,75 分位下 claude.ai 首次可输入时间从 3.1 秒降到 0.55 秒,Claude Code 新会话启动从 0.8 秒降到 0.3 秒,Claude Cowork 云会话加载从 2.6 秒降到 0.73 秒。
信息来源:Hacker News 热门(buzzing.cc 中文翻译) · Claude
教程 / 实战普通
Join the Kaggle Benchmarking Challenge: $2,500 in Prizes for FIVE Winners!
We're excited to team up with Kaggle for a brand new challenge! Running through October 11, the...
信息来源:DEV Community
教程 / 实战普通
It agreed with the reference 100% of the time. It was right 75% of the time.
Swap a cheap model in behind an expensive one and the obvious way to check it is shadow traffic: send...
信息来源:DEV Community
教程 / 实战普通
How to tell if your AI agent actually got better
People keep asking me how you actually know an agent got better. I collected my answers to the most...
信息来源:DEV Community
教程 / 实战普通
Latent-GRPO: Reinforcement Learning in Continuous Thought Space
When you sit down to solve a complex puzzle or plan three moves ahead in chess, do you narrate every...
信息来源:DEV Community
教程 / 实战普通
Anthropic 分享如何用 Claude 两周内将 claude.ai 提速 3 倍
Anthropic 团队称两周内让 claude.ai 快了 3 倍,并发布博客说明如何用 Claude 测量、调试和改进性能,附具体提示词和方法。博客链接 https://claude.dev/blog/how-we-made-claude-ai-faster/ ,作者 Thariq 表示这是新的分享形式,方法可供读者复现。
信息来源:X:Thariq (@trq212) · Claude
教程 / 实战普通
音乐人怎么看AI扒谱转谱
音乐人们:你们怎么看 AI 把歌曲转写成乐谱或 tab 来帮助人们学习? 好奇你们有没有用过,它是否有帮助,以及你们认为它如何影响靠耳朵学琴。
信息来源:X:Jason Liu (@jxnlco)
教程 / 实战普通
Fine-tuning was the easy part: what shipping ASR for a low-resource language taught me
The fine-tune took an hour and a half on a single consumer GPU. Everything that made that hour and a...
信息来源:DEV Community
教程 / 实战普通
30 of 37 games ended in repetition: what small LLMs do in chess when they don't know what to do
Ten smaller LLMs played a chess round robin live: 30 of 37 games ended in repetition. Data, lessons, and the 'kick' rule for slow thinking models.
信息来源:DEV Community
教程 / 实战普通
Pipeline agents look efficient until one mistake costs you the whole run — here’s how to stop the cascade — Pipeline Pattern
I once watched a 47-minute pipeline run die because of a typo in a date field. The researcher agent...
信息来源:DEV Community
教程 / 实战普通
Deploying LiteLLM: An Open-Source AI Gateway
LiteLLM is an open-source AI gateway that provides a unified, OpenAI-compatible API for over 100...
信息来源:DEV Community · OpenAI
教程 / 实战普通
Deploying Langflow: An Open-Source Visual Framework for Building AI Applications
Langflow is an open-source, low-code visual framework for building artificial intelligence (AI)...
信息来源:DEV Community
教程 / 实战普通
Turning Bad LLM Responses into Regression Checks with LLMCheck
A practical build note on capture, human review, replay, and knowing what a passing test actually proves.
信息来源:DEV Community
教程 / 实战普通
The AI Code Review Cheat Sheet
Ten places I slow down, and the 95% of the diff I leave to the pipeline. Most of a diff deserves a glance. A small part deserves an hour.
信息来源:DEV Community
教程 / 实战普通
The Philosopher Plush — a DIY AI toy that runs 100% local
Are you the kind of person who enjoys a good philosophical conversation but would rather not have to...
信息来源:DEV Community
教程 / 实战普通
Road to State Machines Part I
Let's begin with a very fundamental question whose answer is not so obvious. How to design software...
信息来源:DEV Community
教程 / 实战普通
Kavach: building a fraud investigator that knows when a risk score is lying
Kavach: building a fraud investigator that knows when a risk score is lying TigerGraph x...
信息来源:DEV Community
教程 / 实战普通
NVIDIA 教程:如何用 Warp 和 MJWarp 将 MuJoCo 机器人仿真扩展到 2048 个并行环境
Hugging Face 发布 NVIDIA 物理仿真系列第二篇教程,讲解如何将 SO-101 机械臂的 MuJoCo 场景迁移到基于 NVIDIA Warp 的 MuJoCo Warp(MJWarp),扩展到最多 2048 个并行 GPU 环境并测量聚合吞吐量。
信息来源:Hugging Face:Blog(RSS) · NVIDIA / Hugging Face
教程 / 实战普通
I Compared 5 LLM Gateway Tools for Real-World Production Use
When an LLM application starts handling real users, calling a model API is usually easy. The problems...
信息来源:DEV Community