教程中心

Build an AI Test Generator with GPT-4 + pytest Project Overview In this tutorial, you'll build a complete **automated test writing system** using GPT-4 + pytest. By the end, you'll have a production-ready application you can deploy and customize.

AI Workflow: Creating technical documentation with AI assistance Overview Complete guide to Creating technical documentation with AI assistance using AI tools and automation Implementation ```python from openai import OpenAI from pydantic import

Django + LangChain Integration Guide 2026 Overview This guide shows you exactly how to add AI to Django web apps using Django and LangChain. We cover setup, core integration, and production-ready patterns. Prerequisites - Django environment set u

Filesystem MCP Server: Complete Guide 2026 What is Filesystem MCP Server? **Filesystem MCP Server** is an MCP (Model Context Protocol) server that enables AI assistants to Give AI agents access to your local files. MCP is an open protocol that stan

Proposal Generator AI Overview Automated RFP and business proposal writing with AI. This guide provides practical, production-ready implementations. **Category**: business-ai **Primary Tool**: openai **Tags**: business-ai, enterprise, proposal

Webhook AI Integrations Overview Building event-driven AI systems with webhooks. This guide provides practical, production-ready implementations. **Category**: cloud-ai **Primary Tool**: fastapi **Tags**: cloud-ai, api, production, fastapi Pr

Real-time Voice Assistant: Implementation Guide Overview Low-latency voice-to-voice AI conversation system. This guide provides complete, production-ready implementation. Key Concepts Understanding real-time voice assistant: implementation guide

Generated Knowledge: Complete Guide What is Generated Knowledge? Generated Knowledge is a prompting technique that involves prompting to generate context before answering. It is particularly effective for factual accuracy. When to Use Generated Kn

LLM Output Validation: Production Patterns Overview Validating and sanitizing LLM outputs before use. This guide provides complete, production-ready implementation. Key Concepts Understanding llm output validation: production patterns requires:

Building AI Writing Assistants Overview Feature-rich AI writing assistant with style consistency. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo

Multi-Agent System with CrewAI What You'll Build Orchestrating a team of specialized AI agents. By the end of this tutorial, you'll have a fully working implementation you can extend for production use. **Time**: ~25 minutes **Difficulty**: Inte

Google Vertex AI Gemini API: Complete Guide 2026 Overview Google Vertex AI Gemini API provides enterprise-grade AI capabilities for Google Cloud AI with Gemini multimodal capabilities. As one of the leading cloud AI platforms, it offers the reliabi

MCP Protocol Introduction: Complete Guide Overview Understanding Model Context Protocol for AI tool integration. This comprehensive guide covers everything you need to know for production implementation. Why It Matters MCP Protocol Introduction:

Prompt Compression: Complete Guide What is Prompt Compression? Prompt Compression is a prompting technique that involves reducing token count without losing meaning. It is particularly effective for cost optimization. When to Use Prompt Compressio

AI Portfolio Projects Guide Overview 10 impressive AI projects to build for your portfolio. A comprehensive reference guide for learning career practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_ai_por

Go AI Services: Complete Integration Guide Overview High-performance AI service implementation in Go. This comprehensive guide covers everything you need to know for production implementation. Why It Matters Go AI Services: Complete Integration G

React + Vercel AI SDK Integration Guide 2026 Overview This guide shows you exactly how to add AI chat to React apps using React and Vercel AI SDK. We cover setup, core integration, and production-ready patterns. Prerequisites - React environment

ID Document Verification Overview AI-powered identity document verification system. This guide provides practical, production-ready implementations. **Category**: multimodal-ai **Primary Tool**: openai **Tags**: multimodal, vision, identity P

AI SaaS Architecture Patterns Overview Common architecture patterns for AI SaaS applications. A comprehensive reference guide for insights practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_ai_saas_arc

AI Commit Message Generator: Practical Tutorial Overview Generating meaningful git commit messages with AI Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI(

AI Document Comparison: Practical Tutorial Overview Side-by-side document comparison using LLMs Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI() class Ha

Qwen 2.5 Coder (2025-11): Complete Guide What's New in Qwen 2.5 Coder 2025-11 The latest version of **Qwen 2.5 Coder** brings significant improvements: code completion, bug fixing, 128k context. This release represents a major step forward in AI c

AI API Caching Strategies Overview Reducing latency and costs with semantic caching. This guide provides practical, production-ready implementations. **Category**: cloud-ai **Primary Tool**: redis **Tags**: cloud-ai, api, production, redis Pr

Chain-of-Thought Prompting: Complete Guide What is Chain-of-Thought Prompting? Chain-of-Thought Prompting is a prompting technique that involves step-by-step reasoning in prompts. It is particularly effective for math and logic tasks. When to Use

AI Email Response System Overview Automated email drafting and response suggestions. This guide provides practical, production-ready implementations. **Category**: business-ai **Primary Tool**: openai **Tags**: business-ai, enterprise, email

SPLADE Sparse Retrieval Overview Sparse neural retrieval with SPLADE for efficient RAG. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_splade_spa

Corrigible AI Agent Design Overview Ensuring AI agents remain correctable and under human control. This guide covers practical implementation strategies for production AI systems. Why It Matters As AI systems grow more capable and widely deployed

LLM Context Window Management: Production Patterns Overview Strategies for managing large context windows efficiently. This guide provides complete, production-ready implementation. Key Concepts Understanding llm context window management: produc

AI Workflow: AI-enhanced code review workflow Overview Complete guide to AI-enhanced code review workflow using AI tools and automation Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional

How to Connect Claude to Your Database 2026 Introduction In this tutorial, you'll learn how to **Connect Claude to Your Database**. By the end, you'll have a working **natural language database interface** that you can deploy and extend. **Prerequ

AI for Professional Services Overview AI tools for consulting, legal, and accounting firms Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI() class Handler

matryoshka Embeddings Overview Variable-dimension embeddings for flexible storage. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_matryoshka_embe

AI-Powered Form Validation: Practical Tutorial Overview Using AI to intelligently validate form inputs Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI() c

Customer Feedback Analyzer Overview AI analysis of customer reviews and feedback at scale. This guide provides practical, production-ready implementations. **Category**: business-ai **Primary Tool**: openai **Tags**: business-ai, enterprise, f

Serverless vs Container AI Deployment: Side-by-Side Comparison Overview Deployment model comparison for AI applications — comparing operational overhead across aws-lambda and docker. This comprehensive guide covers everything you need to know for p

GPT-4o Mini (2025-11): Complete Guide What's New in GPT-4o Mini 2025-11 The latest version of **GPT-4o Mini** brings significant improvements: cost reduction, faster inference, better coding. This release represents a major step forward in AI capa

Jailbreak Prevention Techniques Overview Technical approaches to prevent conversational AI misuse. This guide covers practical implementation strategies for production AI systems. Why It Matters As AI systems grow more capable and widely deployed

Knowledge Base Builder Overview Auto-generating knowledge bases from company documentation. This guide provides practical, production-ready implementations. **Category**: business-ai **Primary Tool**: openai **Tags**: business-ai, enterprise,

Llama 3.3 vs Mistral Large: Side-by-Side Comparison Overview Open-source vs closed frontier model comparison — comparing open-source performance across llama and mistral. This comprehensive guide covers everything you need to know for production im

Open Source AI Ecosystem: 2025 Guide Overview The thriving open-source AI ecosystem and key projects. This comprehensive guide covers everything you need to know for production implementation. Why It Matters Open Source AI Ecosystem: 2025 Guide i

DeepSeek-V3 Code Generation Overview Using DeepSeek-V3 for high-quality code generation. A comprehensive reference guide for model tutorials practitioners. Quick Reference ```python from openai import OpenAI client = OpenAI() def solve_deepseek_

AWS Bedrock Knowledge Bases: Complete Guide 2026 Overview AWS Bedrock Knowledge Bases provides enterprise-grade AI capabilities for fully managed RAG with S3 and vector search. As one of the leading cloud AI platforms, it offers the reliability, sc

Clojure AI Development Overview Lisp-inspired AI programming with Clojure Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optional import json client = OpenAI() class Handler: """Handles

ElevenLabs API: Developer Guide 2026 What is ElevenLabs API? **ElevenLabs API** enables text-to-speech AI for voice apps. This guide covers everything you need to get started quickly. Why Use ElevenLabs API? - Solves the specific problem of text-

WordPress + OpenAI Integration Guide 2026 Overview This guide shows you exactly how to add AI content generation to WordPress using WordPress and OpenAI. We cover setup, core integration, and production-ready patterns. Prerequisites - WordPress e

Fine-tuning LLMs Best Practices 2026 Introduction Following best practices for fine-tuning llms is the difference between fragile prototypes and production-grade AI systems. This guide covers the most important practices that experienced AI develop

AI Workflow: AI-powered database schema design Overview Complete guide to AI-powered database schema design using AI tools and automation Implementation ```python from openai import OpenAI from pydantic import BaseModel from typing import Optiona

How to Deploy AI Models with Docker 2026 Introduction In this tutorial, you'll learn how to **Deploy AI Models with Docker**. By the end, you'll have a working **containerized AI deployment** that you can deploy and extend. **Prerequisites:** - Fa