资讯与观察
AI 行业动态、工程实践、产品方法和社区故事。
MCP Explained in 5 Minutes
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams that make the whole concept easy for anyone to understand.
What I’ve Learned About DeepSeek Harness
KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here's what he found.
12 分钟 · KDnuggets
Everything Claude Opus 5.5 Actually Ships With
This article pulls together every verifiable number and detail from Anthropic's announcement, the platform documentation, the system card, and independent coverage, so you have one place to check the facts.
10 分钟 · KDnuggetsLATEST STORIES
最新内容
Why Most Data Science Notebooks Die After Day One: How to Build Ones That Survive精选导读
Six habits that keep a notebook runnable after you close the laptop.
High-Performance Data Processing with Polars: A KDnuggets Cheat Sheet精选导读
Polars is a DataFrame library written in Rust on the Apache Arrow memory format, and the speed comes less from the language than from the model. The model? Describe your work as expressions, and the Polars query engine …
Bravely AI Browsing with Leo精选导读
Learn about private AI browsing for data professionals.
7 Open-Source Alternatives to ChatGPT You Can Run Locally精选导读
Explore seven open-source ChatGPT alternatives, from lightweight local chat interfaces and document assistants to agent platforms, multi-user setups, and complete self-hosted AI workspaces.
What Everyone Is Getting Wrong About TypeSafe AI’s Jev精选导读
A closer look at TypeSafe AI’s Jev, what it actually does, what is genuinely new, and where the hype goes too far.
How to Turn a Python Script Into an AI Agent精选导读
Learn how to build a Python AI agent with the OpenAI Agents SDK, using tool calling and function tools to automate multi-step workflows.
3 Polars Tricks for High-Performance Data Manipulation精选导读
Almost every slow Polars script lacks in terms of one of these two: its expression engine written and executing in Rust across every core at its disposal, and its query optimizer that rewrites your work before any of it…
Data Engineering Weekly #288精选导读
The Weekly Data Engineering Newsletter
Reusing the Prompt Prefix with a Key-Value Cache for SLM Optimization精选导读
In this second article in our short series on SLM optimization techniques we focus on the reuse of the prompt prefix with a key-value cache.