资讯与观察· 数据科学
AI 行业动态、工程实践、产品方法和社区故事。
7 Open-Source Alternatives to ChatGPT You Can Run Locally
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
A closer look at TypeSafe AI’s Jev, what it actually does, what is genuinely new, and where the hype goes too far.
10 分钟 · KDnuggets
How to Turn a Python Script Into an AI Agent
Learn how to build a Python AI agent with the OpenAI Agents SDK, using tool calling and function tools to automate multi-step workflows.
6 分钟 · KDnuggetsLATEST STORIES
最新内容
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…
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.
5 Prompt Optimization Strategies That Actually Improve LLM Output精选导读
This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs.
What’s So Good About ChatGPT Work? Here’s What I Found精选导读
This article walks through how ChatGPT Work specifically earns its reputation, where the underlying models genuinely hold up against the competition, and where the honest limits are.
5 Free Zoomcamps From Data Pipelines to AI Agents精选导读
Explore five free hands-on workshops covering data engineering, machine learning, MLOps, LLMs, AI agents, and AI development through practical lessons, homework, projects, and community-based learning.
Estimators in Scikit-LLM: A KDnuggets Cheat Sheet精选导读
Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.