#data cleaning AI
337 related articles
Tutorials·2 min
Coze Knowledge Base Setup Tutorial: A Practical Guide to RAG Retrieval and Workflow Configuration
Learn how to build a Coze knowledge base with RAG retrieval and workflow configuration. Covers document chunking strategies, agent setup, and enterprise Q&A.
Read more →
Expert Opinions·4 min
Using AI All Day But Still Not More Productive? You're Chatting, Not Using an Agent
Using Doubao, Kimi, or ChatGPT daily but still overwhelmed? The problem isn't AI — it's how you use it. Learn the key difference between AI chat and AI Agents, and how to shift from talking to AI to having AI actually do the work.
Read more →
Deep Dives·4 min
Will Frequent Git Commits Fill Up Your Hard Drive? Delta Compression & Packfile Mechanism Explained
Will frequent Git commits fill your hard drive? Deep dive into Git's Delta compression and Packfile mechanism, revealing why pure code commits cost almost nothing and identifying the real culprit — large binary files.
Read more →
Product Reviews·4 min
Kimi OK Computer Hands-On Review: In-Depth Evaluation of AI Agent Performance Across Four Scenarios
In-depth hands-on review of Kimi's AI Agent 'OK Computer' across website building, data analysis, audio picture books, and PPT creation. Can an agent with 20+ built-in tools truly do your work?
Read more →
Product Reviews·2 min
Firecrawl: The AI Web Scraping Powerhouse with 120K Stars — Essential for RAG Development
Deep dive into Firecrawl: an open-source web search, scraping, and data cleaning tool designed for AI Agents. Supports JS rendering, smart content extraction, and Markdown output — core infrastructure for RAG systems and AI automation.
Read more →
Product Reviews·3 min
Best Mac Cleaning Tools: A Roundup of the Most Practical Apps in 2025
Mac running slow or low on storage? This article reviews the best Mac cleaning tools of 2025, comparing CleanMyMac X, AppCleaner, OnyX, and more to help you efficiently clear system junk and restore performance.
Read more →
Tutorials·3 min
Build a Local Image Generation MCP Server with One Prompt: Let Codex Batch Generate and Edit Images
Learn how to build a local image generation MCP Server with one Prompt, letting Codex call Flux models for zero-token batch image generation and editing.
Read more →
Tutorials·3 min
Codex Cache Cleanup Guide: A Hands-On Tutorial for Slimming Down the .codex Folder
Guide to cleaning OpenAI Codex's local .codex folder cache, including deleting conversations with community Python tools, cleaning logs.sqlite, and periodic archiving to slim from 17MB to 41KB.
Read more →
Product Reviews·3 min
Vibe Board: An Open-Source Orchestration Platform for Managing Multiple AI Coding Agents
Vibe Board (VibeCombat) is an open-source AI coding agent management platform supporting parallel orchestration of Claude Code, Gemini CLI, AMP, and more with unified MCP config and real-time task tracking.
Read more →
Tutorials·2 min
ByteDance Releases Claude Code Chinese Manual: A Complete Guide from Zero to Mastery
ByteDance published a Claude Code Chinese manual on Feishu covering installation, domestic LLM integration, coding, copywriting, and data analysis tutorials for all skill levels.
Read more →
Product Reviews·4 min
Cursor 1.0 Released: BugBot Code Review Hands-On & Comparison of Three AI Review Tools
Deep dive into Cursor 1.0's BugBot AI code review feature, with a side-by-side comparison of BugBot, Gemini Code Assist, and CodeRabbit covering pricing, scope, and speed.
Read more →
Product Reviews·3 min
Cursor 1.0 In-Depth Review: MCP Integration, BugBot, and Background Agent Hands-On Experience
Hands-on review of Cursor 1.0: testing one-click MCP integration, BugBot code review, and Background Agent. Includes pricing analysis and real usage limitations.
Read more →
Product Reviews·4 min
Claude Sonnet 4.5 Document Generation in Practice: One Prompt to Create Excel, Word, and PPT
Hands-on test of Claude Sonnet 4.5's code execution and file creation features, showing how one prompt generates Excel, Word, and PPT documents with four optimization strategies and three complete examples.
Read more →
Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
Read more →
Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
Read more →
Deep Dives·3 min
ARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
Read more →
Product Reviews·3 min
awesome-LLM-resources: A Comprehensive Analysis of the 8,200-Star LLM Learning Resource Repository on GitHub
In-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
Read more →
Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
Read more →
Product Reviews·3 min
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Learning Resource Repository
Deep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
Read more →
Tutorials·3 min
AI Project Evaluation Framework: A Practical Guide to 5 Levels and 30 Key Metrics
A battle-tested AI project evaluation framework covering 5 levels and 30 core metrics—model quality, UX, system efficiency, business value, and data loops—to scientifically assess LLM Agent performance.
Read more →