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AI 行业动态、工程实践、产品方法和社区故事。
ChatGPT vs. Claude vs. Gemini for Data Science Work: Here’s What I Found
Compare ChatGPT, Claude, and Gemini across the data science tasks that matter most to statisticians and analysts.
10 Hugging Face Models Worth Knowing in 2026
Explore 10 Hugging Face models used across text, vision, audio, and retrieval in 2026.
30 分钟 · KDnuggets
教程：用 Python 构建无状态 MCP 服务器
一篇教程介绍了如何用 Python 构建无状态 MCP 服务器，通过 HTTP 暴露工具、资源和提示。新版 MCP 规范简化了开发流程，开发者用装饰器即可定义资源（如 kb://articles）、工具和可复用提示模板，其中资源为可读数据，工具为可执行操作。
9 分钟 · KDnuggetsLATEST STORIES
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盘点十款可替代昂贵商业软件的数据科学免费AI工具精选导读
文章介绍十款开源AI工具，覆盖本地推理、AutoML、RAG、数据标注与可视化等数据科学全流程，可替代DataRobot、Tableau及商业LLM API等付费产品。文章称这些免费工具在多数专业工作流中已能与付费方案持平甚至更强，且可本地运行。
Bridging Algorithmic Design and Regulatory Standards in Enterprise AI精选导读
Your models can be both cutting-edge and compliant if you stop treating governance as the final hurdle and start building it into every stage of the ML pipeline.
Building AI Agents with Docker Agent精选导读
Docker Agent is an open-source, Apache 2.0-licensed CLI plugin built by Docker Engineering, installed and run as docker agent. Its own tagline states the goal plainly: run AI agents like containers.
7 Best Resources to Learn About Self-Evolving AI Agents精选导读
The next step for AI agents? Self-improvement. Here are 7 resources to get started.
OpenAI Dots: The Data Scientist’s Reality Check精选导读
Dots promises a lot. Before you hand it the keys to your workflow, here's what practitioners need to know.
ML Engineer, AI Engineer, or LLM Engineer: Which Role Actually Builds What in 2026?精选导读
Same job postings, different titles. Here's what each role actually builds.
I Tested 5 AI Coding Assistants for a Month: Here’s What I Actually Found精选导读
Compare five AI coding assistants across real tasks to find which tool fits your workflow.
Who Pays for AI Data Centers?精选导读
The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.
5 Best Practices for Building Robust Python AI Libraries精选导读
This article covers building robust Python AI libraries specifically, Python AI SDK best practices, and what separates a production-ready AI package from one that only survives in its own demo.