教程中心

Cursor vs GitHub Copilot 2026 深度对比：Cursor 是 AI 原生 IDE(Composer 多文件/仓库级)，Copilot 是跨 IDE 插件($10 更便宜)。含分场景胜负表、底层模型影响与选择建议。

Build AI email automation with GPT-4 and Gmail API. Covers email classification, priority scoring, auto-draft generation, and routing—saving hours of inbox management weekly.

Complete TTS API comparison and tutorial. OpenAI TTS for production, ElevenLabs for voice cloning, streaming TTS for chatbots, and building a full voice AI assistant.

Complete guide to AI image generation APIs in 2026. Covers DALL-E 3 text accuracy, Flux photorealism, Stable Diffusion customization, batch generation, and choosing the right API.

Complete Claude Opus 4 API tutorial. Covers system prompts, document analysis, tool use, vision, streaming, and cost optimization strategies for routing between Opus/Sonnet/Haiku.

Complete Gemini 2.0 API tutorial covering multimodal inputs, 2M token context, function calling, grounding with Google Search, and code execution.

Build an AI code review bot with GitHub Actions and GPT-4o. Analyzes every PR for security vulnerabilities, logic errors, and code quality. Block merges on critical security issues.

Complete OpenAI Assistants API tutorial. Create assistants, manage threads, upload files for RAG, use Code Interpreter for data analysis, stream responses, handle function calling.

Complete pgvector tutorial: installation, HNSW indexes, cosine similarity operators, hybrid BM25+vector search, and a full RAG pipeline in Python.

Complete Supabase AI tutorial. pgvector for semantic search, Edge Functions for AI inference, real-time streaming, Row Level Security for user-scoped RAG, and a Next.js chat component.

Complete Mistral AI API guide: Mixtral 8x22B, Mistral Large, Codestral for code, embeddings for RAG, function calling, JSON mode, and local deployment with Ollama.

Benchmark comparison of OpenAI o3, Claude 3.5 Sonnet, Gemini 2.0 Pro. HumanEval, SWE-bench, MATH scores. Cost analysis and decision guide.

Phi-4 (2025-12): Complete Guide What's New in Phi-4 2025-12 The latest version of **Phi-4** brings significant improvements: 14B params, on-device inference, STEM focus. This release represents a major step forward in AI capabilities and is availa

Comprehensive guide to Mistral AI API and models in 2026. Covers Mistral Large vs Mixtral model selection, API usage with Python and TypeScript, local deployment with Ollama, function calling, and building production applications with European data residency.

Practical guide to AI applications in healthcare settings for 2026. Covers AI-assisted clinical documentation with ambient scribing, diagnostic decision support tools, patient communication automation, and regulatory compliance considerations for healthcare AI.

Complete guide to the Vercel AI SDK for building AI-powered Next.js applications in 2026. Covers streaming chat interfaces, structured data extraction with Zod, tool calling, multi-step agents, and production patterns for TypeScript developers.

Complete guide to using the OpenAI Whisper API for audio transcription in 2026. Covers real-time transcription, speaker identification, meeting summarization, automated action item extraction, and building a complete meeting intelligence system.

Complete tutorial for building multi-agent AI systems using CrewAI in 2026. Covers agent role design, task delegation, crew orchestration, tool integration, and building production workflows where multiple specialized AI agents collaborate on complex tasks.

Tutorial for building a production semantic search application using Supabase's pgvector extension with OpenAI embeddings. Covers database setup, embedding generation, similarity search queries, and building a Next.js frontend with real-time search.

Detailed tutorial for ElevenLabs voice AI platform covering voice cloning, multilingual TTS, audio book production, podcast automation, and building production voice applications with the API. Includes pricing analysis and ethical usage guidelines.

Complete guide to using AI tools for SEO content strategy in 2026. Covers AI-assisted keyword research, search intent analysis, content brief creation, writing workflows, and avoiding AI content penalties while maintaining quality and authenticity.

Step-by-step tutorial for building an AI customer support agent using the OpenAI Assistants API. Covers creating assistants, uploading knowledge base files, implementing function calling, managing threads, and deploying to production.

Comprehensive comparison of Pinecone, Weaviate, Qdrant, and Chroma vector databases for AI applications in 2026. Includes performance benchmarks, cost analysis, feature comparison, and recommendations for different use case categories.

Detailed comparison of LangChain and LlamaIndex for building retrieval-augmented generation applications in 2026. Covers architecture differences, performance benchmarks, integration ecosystems, and specific use cases where each framework excels.

Complete guide to OpenAI's GPT-4o API covering multimodal inputs, real-time audio streaming, function calling, and building production apps. Includes code examples for vision analysis, speech-to-text integration, and cost optimization strategies.

A comprehensive guide to using the Anthropic Claude API for building production-ready AI applications. Covers authentication, prompt engineering, tool use, streaming responses, and best practices for deploying Claude-powered apps at scale.

CrewAI Multi-Agent Teams What is CrewAI? CrewAI is a framework for role-based collaborative AI agents. It simplifies building AI applications by providing high-level abstractions over raw LLM APIs. **Best for**: multi-agent Installation ```bash

阿里云通义千问（Qwen）系列在性价比和多语言能力上领先国产模型，Qwen2.5 已被全球开发者广泛使用。本文从 API Key 获取到生产级应用构建，详细讲解 Qwen API 的开发最佳实践。

Phi-4 Mini Tutorial Overview On-device inference with Microsoft Phi-4 Mini model. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_phi_4_mini_tutor

从 Excel 用户到数据科学家，AI 正在改变每个层级的数据分析工作。本文覆盖 2026 年最实用的 AI 数据分析工具：ChatGPT 代码解释器、Julius AI、Tableau AI、Python+AI 工作流，以及国内工具推荐。

A practical workflow guide for brand designers using Midjourney v7 to generate logos, brand mood boards, product mockups, and marketing assets with style-ref and character-ref parameters for consistency.

This guide explores how UI/UX designers can leverage AI tools inside Figma, including FigJam AI, Locofy, and plugin ecosystems, to automate layout generation, generate user flow variants, and rapidly test design hypotheses.

企业引入 AI 后，绕不开治理：数据安全、合规、模型风险、责任归属。这篇把 AI 治理框架拆成可落地的几块——政策、流程、技术管控、组织角色，避免你的 AI 项目踩合规雷区。

Learn how to apply AI and machine learning to blockchain data for wallet profiling, smart money tracking, market manipulation detection, and on-chain intelligence gathering.

Learn how AI can simplify Web3 onboarding—from personalized educational content and wallet setup assistance to fraud detection and user journey optimization for DeFi and NFT platforms.

Learn how to build AI models for NFT price prediction, rarity scoring, wash trading detection, and collection analysis to make data-driven decisions in the NFT marketplace.

Learn how AI tools accelerate every phase of cloud native development—from generating Kubernetes manifests and Helm charts to intelligent troubleshooting and performance optimization.

A practical guide to building high-performance serverless applications with AI assistance—covering function optimization, cold start reduction, intelligent scaling, and cost management for AWS Lambda and similar platforms.

Learn how AI tools analyze cloud spending patterns to identify waste, recommend right-sizing, automate savings plans, and continuously optimize costs across AWS, Azure, and GCP.

Master AI-powered time series forecasting for business applications—from demand forecasting and revenue prediction to inventory optimization and anomaly detection using modern deep learning and statistical hybrid models.

A comprehensive guide to automating the end-to-end data science workflow using AI tools—from automated exploratory data analysis and feature engineering to model selection, hyperparameter tuning, and production deployment.

Learn how AI tools help engineering teams identify, prioritize, and systematically address technical debt—from automated code smell detection to refactoring assistance and architectural recommendations.

Learn how AI is transforming incident management—from intelligent alerting and automatic root cause analysis to resolution recommendations and post-incident learning.

Learn how AI is revolutionizing DevOps practices—from intelligent code review and predictive test selection to automated rollback and deployment risk scoring.

Explore how AI and NLP are transforming email security, from detecting spear phishing to identifying business email compromise (BEC) attacks that bypass traditional filters.

A practical guide to implementing AI-powered log analysis that transforms raw security event data into prioritized, actionable threat intelligence for SOC teams.

A comprehensive guide to implementing AI-driven threat detection, anomaly analysis, and automated incident response in modern security operations centers (SOC).

How real estate investors, agents, and property managers use AI for automated valuation, market prediction, due diligence, tenant screening, and portfolio optimization.