教程中心
AI Agent 从入门到实战:概念理解、MCP 使用、平台实操、工作流自动化
2024
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368
入门教程
45
实操教程
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GPT-4o Mini vs Claude Haiku: Side-by-Side Comparison
Cost-effective model comparison for production workloads — comparing speed and cost across gpt4o-mini and claude-haiku
GPT-4o Mini vs Claude Haiku: Side-by-Side Comparison Overview Cost-effective model comparison for production workloads — comparing speed and cost across gpt4o-mini and claude-haiku. This comprehensive guide covers everything you need to know for pr
AI Workflow: AI for competitive analysis and market research
Complete guide to AI for competitive analysis and market research using AI tools and automation
AI Workflow: AI for competitive analysis and market research Overview Complete guide to AI for competitive analysis and market research using AI tools and automation Implementation ```python from openai import OpenAI from pydantic import BaseMode
Cursor AI Editor Mastery: Complete Developer Guide
Advanced techniques for AI-powered coding with Cursor — practical workflows for modern developers
Cursor AI Editor Mastery Overview Advanced techniques for AI-powered coding with Cursor. AI-powered coding tools are transforming software development workflows. Setup ```bash Install required packages pip install openai anthropic python-dotenv
Cerebras Inference Speed
Using Cerebras for the fastest LLM inference available
Cerebras Inference Speed Overview Using Cerebras for the fastest LLM inference available. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_cerebras
Tool Caching for Agents: Complete Guide
Caching tool results to improve agent performance
Tool Caching for Agents: Complete Guide Overview Caching tool results to improve agent performance. This comprehensive guide covers everything you need to know for production implementation. Why It Matters Tool Caching for Agents: Complete Guide
AI Learning Roadmap 2025
Structured learning path for becoming an AI engineer in 2025
AI Learning Roadmap 2025 Overview Structured learning path for becoming an AI engineer in 2025. A comprehensive reference guide for learning career practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_ai
How to Implement Streaming AI Responses: Complete Guide for Developers 2026
Build a real-time AI chat experience step by step
How to Implement Streaming AI Responses 2026 Introduction In this tutorial, you'll learn how to **Implement Streaming AI Responses**. By the end, you'll have a working **real-time AI chat experience** that you can deploy and extend. **Prerequisite
Celery for AI Applications: Async task processing for AI Guide 2026
Use Celery to handle long-running AI tasks asynchronously in Python applications
Celery for AI Applications: async task processing for AI 2026 Introduction Use Celery to handle long-running AI tasks asynchronously in Python applications. This guide shows you how to effectively use Celery in your AI development workflow. Why Ce
Code Explanation Tool: Complete Developer Guide
Building tools that explain complex code in plain language — practical workflows for modern developers
Code Explanation Tool Overview Building tools that explain complex code in plain language. AI-powered coding tools are transforming software development workflows. Setup ```bash Install required packages pip install openai anthropic python-dotenv
AI Technical SEO Guide
Using AI to improve technical SEO and content ranking
AI Technical SEO Guide Overview Using AI to improve technical SEO and content ranking. A comprehensive reference guide for insights practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_ai_technical_seo_g
AutoGen Conversational Agents: Tutorial and Best Practices
Build production AI with AutoGen — autonomous multi-agent conversations
AutoGen Conversational Agents What is AutoGen? AutoGen is a framework for autonomous multi-agent conversations. It simplifies building AI applications by providing high-level abstractions over raw LLM APIs. **Best for**: automation Installation
Few-Shot Learning Prompts: Complete Guide with Examples 2026
Master Few-Shot Learning Prompts for better AI outputs
Few-Shot Learning Prompts: Complete Guide 2026 What is Few-Shot Learning Prompts? Few-Shot Learning Prompts is a prompt engineering technique where you provide 2-5 examples to teach the model the pattern. It's one of the most effective methods for
AI Development with Kotlin: Complete Guide 2026
Best AI tools and patterns for Kotlin developers
AI Development with Kotlin 2026 Introduction Kotlin is used for Android, server-side, multiplatform. This guide shows you the best AI tools, SDKs, and patterns for Kotlin developers building AI-powered applications. Top AI SDKs for Kotlin **Recom
Code Review Automation: Complete Developer Guide
Automating code reviews with LLM-powered analysis — practical workflows for modern developers
Code Review Automation Overview Automating code reviews with LLM-powered analysis. AI-powered coding tools are transforming software development workflows. Setup ```bash Install required packages pip install openai anthropic python-dotenv Set AP
Discord + OpenAI: How to Create a Discord AI bot (2026)
Complete integration guide for Discord and OpenAI
Discord + OpenAI Integration Guide 2026 Overview This guide shows you exactly how to create a Discord AI bot using Discord and OpenAI. We cover setup, core integration, and production-ready patterns. Prerequisites - Discord environment set up - O
AI for Open Source Projects: Complete Guide
Adding AI capabilities to open source software
AI for Open Source Projects: Complete Guide Overview Adding AI capabilities to open source software. This guide provides complete, production-ready implementation. Key Concepts Understanding ai for open source projects: complete guide requires:
Claude for Code Generation: Complete Developer Guide
Using Claude to generate, review, and refactor production code — practical workflows for modern developers
Claude for Code Generation Overview Using Claude to generate, review, and refactor production code. AI-powered coding tools are transforming software development workflows. Setup ```bash Install required packages pip install openai anthropic pyth
AWS Bedrock Claude Integration: Complete Guide for AI Applications 2026
Build production AI apps with AWS Bedrock Claude Integration
AWS Bedrock Claude Integration: Complete Guide 2026 Overview AWS Bedrock Claude Integration provides enterprise-grade AI capabilities for enterprise AI with Anthropic models on AWS. As one of the leading cloud AI platforms, it offers the reliabilit
LLM-Based Data Validation: Practical Tutorial
Using LLMs to validate complex business logic rules
LLM-Based Data Validation: Practical Tutorial Overview Using LLMs to validate complex business logic rules Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI(
Scale AI Data Platform: Complete Setup Guide
High-quality training data collection at scale
Scale AI Data Platform: Complete Setup Guide Overview High-quality training data collection at scale Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI() cla
OWASP LLM Top 10 Mitigation: Security Guide
Implementing defenses against OWASP LLM Top 10 vulnerabilities
OWASP LLM Top 10 Mitigation: Security Guide Overview Implementing defenses against OWASP LLM Top 10 vulnerabilities. This guide provides complete, production-ready implementation. Key Concepts Understanding owasp llm top 10 mitigation: security g
RAG (Retrieval Augmented Generation): Complete Developer Guide 2026
Master RAG (Retrieval Augmented Generation) with practical examples and production patterns
RAG (Retrieval Augmented Generation): Complete Developer Guide 2026 Overview RAG (Retrieval Augmented Generation) is one of the most important concepts in modern AI development. This guide provides a thorough understanding with practical, productio
Training Data Poisoning Defense
Protecting ML training data from adversarial contamination
Training Data Poisoning Defense Overview Protecting ML training data from adversarial contamination. This guide covers practical implementation strategies for production AI systems. Why It Matters As AI systems grow more capable and widely deploy
Gemini 2.5 Pro (2026-01): What's New and How to Use It
Complete guide to the latest Gemini 2.5 Pro capabilities: 2M context, native tool use, deep think mode
Gemini 2.5 Pro (2026-01): Complete Guide What's New in Gemini 2.5 Pro 2026-01 The latest version of **Gemini 2.5 Pro** brings significant improvements: 2M context, native tool use, deep think mode. This release represents a major step forward in A
AI Penetration Testing: Security Guide
Testing AI applications for security vulnerabilities
AI Penetration Testing: Security Guide Overview Testing AI applications for security vulnerabilities. This guide provides complete, production-ready implementation. Key Concepts Understanding ai penetration testing: security guide requires: 1. *
Business Intelligence Chatbot: Enterprise Implementation
Natural language queries over business data with AI
Business Intelligence Chatbot Overview Natural language queries over business data with AI. This guide provides practical, production-ready implementations. **Category**: business-ai **Primary Tool**: openai **Tags**: business-ai, enterprise,
AWS SageMaker JumpStart: Complete Guide for AI Applications 2026
Build production AI apps with AWS SageMaker JumpStart
AWS SageMaker JumpStart: Complete Guide 2026 Overview AWS SageMaker JumpStart provides enterprise-grade AI capabilities for deploying foundation models on your own infrastructure. As one of the leading cloud AI platforms, it offers the reliability,
DeepSeek V3 API Complete Guide 2026: Setup, Features & Best Practices
Everything you need to build production apps with DeepSeek V3 by DeepSeek
DeepSeek V3 API Complete Guide 2026 Overview **DeepSeek V3** by **DeepSeek** is a leading AI model in 2026, renowned for its excellence in coding, mathematics, and cost efficiency. This guide covers everything from API setup to production deploymen
API Client Generator: Complete Developer Guide
Auto-generating API clients from OpenAPI specifications — practical workflows for modern developers
API Client Generator Overview Auto-generating API clients from OpenAPI specifications. AI-powered coding tools are transforming software development workflows. Setup ```bash Install required packages pip install openai anthropic python-dotenv Se
Multi-Provider AI Fallback: Production Guide
Automatic fallback between AI providers for reliability
Multi-Provider AI Fallback Overview Automatic fallback between AI providers for reliability. This guide provides practical, production-ready implementations. **Category**: cloud-ai **Primary Tool**: litellm **Tags**: cloud-ai, api, production,
LangChain Expression Language (LCEL): Tutorial and Best Practices
Build production AI with LangChain — composable chain building
LangChain Expression Language (LCEL) What is LangChain? LangChain is a framework for composable chain building. It simplifies building AI applications by providing high-level abstractions over raw LLM APIs. **Best for**: chain composition Install
AI Screenshot Analyzer: Implementation Guide
Building screenshot analysis tools for QA and accessibility
AI Screenshot Analyzer Overview Building screenshot analysis tools for QA and accessibility. This guide provides practical, production-ready implementations. **Category**: multimodal-ai **Primary Tool**: openai **Tags**: multimodal, vision, sc
AI Workflow: Using AI for interview preparation
Complete guide to Using AI for interview preparation using AI tools and automation
AI Workflow: Using AI for interview preparation Overview Complete guide to Using AI for interview preparation using AI tools and automation Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optio
Async Streaming with Server-Sent Events: Practical Tutorial
SSE-based streaming for AI responses in web apps
Async Streaming with Server-Sent Events: Practical Tutorial Overview SSE-based streaming for AI responses in web apps Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json clien
Role Prompting: Complete Guide and Examples
Master role prompting — assigning expert persona for better answers — best for domain expertise
Role Prompting: Complete Guide What is Role Prompting? Role Prompting is a prompting technique that involves assigning expert persona for better answers. It is particularly effective for domain expertise. When to Use Role Prompting Use this techn
AI for Developer Productivity
Measuring and maximizing AI impact on developer velocity
AI for Developer Productivity Overview Measuring and maximizing AI impact on developer velocity. A comprehensive reference guide for insights practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_ai_for_d
GPT-4o (2025-11): What's New and How to Use It
Complete guide to the latest GPT-4o capabilities: improved multimodal, 128k context, faster speed
GPT-4o (2025-11): Complete Guide What's New in GPT-4o 2025-11 The latest version of **GPT-4o** brings significant improvements: improved multimodal, 128k context, faster speed. This release represents a major step forward in AI capabilities and is
AI Development with Swift: Complete Guide 2026
Best AI tools and patterns for Swift developers
AI Development with Swift 2026 Introduction Swift is used for iOS, macOS, Apple platforms. This guide shows you the best AI tools, SDKs, and patterns for Swift developers building AI-powered applications. Top AI SDKs for Swift **Recommended**: Op
Node.js AI Applications: Complete Integration Guide
Building AI applications with Node.js and TypeScript
Node.js AI Applications: Complete Integration Guide Overview Building AI applications with Node.js and TypeScript. This comprehensive guide covers everything you need to know for production implementation. Why It Matters Node.js AI Applications:
Voyage AI Embeddings
High-quality embeddings with Voyage AI for RAG
Voyage AI Embeddings Overview High-quality embeddings with Voyage AI for RAG. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_voyage_ai_embeddings
AI Development with TypeScript: Complete Guide 2026
Best AI tools and patterns for TypeScript developers
AI Development with TypeScript 2026 Introduction TypeScript is used for web apps, React, Node.js, APIs. This guide shows you the best AI tools, SDKs, and patterns for TypeScript developers building AI-powered applications. Top AI SDKs for TypeScri
MCP Error Handling Patterns: Complete Guide
Robust error handling in MCP server implementations
MCP Error Handling Patterns: Complete Guide Overview Robust error handling in MCP server implementations. This comprehensive guide covers everything you need to know for production implementation. Why It Matters MCP Error Handling Patterns: Compl
AI for Customer Journey Mapping
Using AI to analyze and optimize customer journeys
AI Customer Journey Mapping AI analyzes customer data to identify friction points and optimize conversions. ```python from openai import OpenAI client = OpenAI() def analyze_journey(events: list) -> dict: prompt = f"Analyze customer journey ev
Adversarial Input Detection: Security Guide
Detecting adversarial inputs to AI systems in production
Adversarial Input Detection: Security Guide Overview Detecting adversarial inputs to AI systems in production. This guide provides complete, production-ready implementation. Key Concepts Understanding adversarial input detection: security guide r
Groq Ultra-Fast Inference: Production Guide
Building low-latency AI apps with Groq inference
Groq Ultra-Fast Inference Overview Building low-latency AI apps with Groq inference. This guide provides practical, production-ready implementations. **Category**: cloud-ai **Primary Tool**: groq **Tags**: cloud-ai, api, production, groq Prer
Competitive Intelligence AI: Enterprise Implementation
Automated competitor analysis and market monitoring
Competitive Intelligence AI Overview Automated competitor analysis and market monitoring. This guide provides practical, production-ready implementations. **Category**: business-ai **Primary Tool**: openai **Tags**: business-ai, enterprise, co
LLM for Data Enrichment: Practical Tutorial
Enriching sparse data records with AI-generated content
LLM for Data Enrichment: Practical Tutorial Overview Enriching sparse data records with AI-generated content Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenA
RAGAS: RAG Evaluation Framework: Complete Guide
Evaluating Retrieval-Augmented Generation quality with RAGAS — practical implementation
RAGAS: RAG Evaluation Framework Overview Evaluating Retrieval-Augmented Generation quality with RAGAS. Rigorous evaluation is essential for building trustworthy AI applications. Why Evaluation Matters Without proper evaluation, you cannot: - Know