大数据
数据平台、分析系统与智能数据应用
Claude Haiku 5.5: What’s New and How to Use It for Fast, Cheap AI Workflows
Claude Haiku 5.5 cuts list prices by 90% and adds adaptive thinking and a 1M token context window. Learn what broke from Haiku 4.5, and build classification, extraction, and sub-agent workflows in Python using the new A…
LangChain vs. LlamaIndex vs. Building From Scratch: Here’s What I Suggest
Choosing the right framework for your large language model application comes down to one question: what are you actually optimizing for?
23 分钟 · KDnuggets
7 Checks to Run Before Trusting AI-Generated Code
AI makes writing code cheap. Verifying it is still your job.
3 分钟 · KDnuggetsLATEST STORIES
最新内容
Data Engineering Weekly #292精选导读
The Weekly Data Engineering Newsletter
Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself精选导读
From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, where each falls short, and how to choose the right one for your use case.
5 Best Resources to Learn About World Models in 2026精选导读
World models could be the next big shift in AI. Learn more right now.
Abacus AI Honest Review: Key Criticisms, Facts & What Users Should Know精选导读
This review highlights the main critiques of Abacus AI, its price, user reviews, reliability of workflows, and real-life use cases to assist you in evaluating its advantages and disadvantages.
Building AI Applications with OGX, the Open-Source Agentic API Server精选导读
OGX is an open-source agentic API server for building OpenAI-compatible AI applications, using any model and any infrastructure.
7 Open-Source AI Tools That Can Replace Paid Subscriptions精选导读
Find open-source alternatives to OpenAI API, Midjourney, Claude Code, Notion, Wispr Flow, Grammarly, and NotebookLM that you can run locally or self-host for more privacy, control, and lower cost.
Few-Shot Text Classification with Scikit-LLM精选导读
Leveraging Scikit-LLM for one of the simplest yet most practical text classification tasks utilized in the modern AI landscape: few-shot classification.
5 Fun Projects for LLM Inference Engineering精选导读
Want to understand what makes LLMs fast? Build the systems yourself.
The Self-Organizing Data Stack精选导读
When agents answer the questions, they can maintain the data model. Here is what that demands from the orchestration engine.