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7 / 200AI 开发实战教程，从零到一构建你的 AI 应用。
All200
Beginner32
Intermediate92
Advanced76
All
Prompt Engineering12
RAG Retrieval Augmented17
Agent Development34
Model Fine-tuning21
Deployment and Operations25
AI Application Development40
DeepSeek API16
Multimodal Development6
AI Safety6
Model Inference3
Retrieval Systems1
RAG Retrieval1
Model Architecture3
API Development1
Agent Development10
Model Deployment1
Multimodal1
Model Evaluation2
Tutorial
Date
Chain-of-Thought (CoT) and Few-shot Prompting Techniques
Prompt Engineering
Intermediate
Chain-of-Thought and Few-shot prompting are key techniques for improving the reasoning ability of large models. This article provides an in-depth explanation of the principles, usage methods, and best practices of these two techniques, helping developers build smarter AI applications.
Prompt Version Management and A/B Testing
Prompt Engineering
Intermediate
Prompts are the soul of AI applications and, like code, require version management and A/B testing. This article explains a complete solution for prompt version control, experiment design, effect evaluation, and progressive rollout.
DeepSeek Prompt Engineering Tutorial
Prompt Engineering
Intermediate
DeepSeek-specific prompt engineering guide: chain-of-thought reasoning, few-shot learning, structured output, and function calling. Covers prompt templates and optimization strategies for scenarios such as mathematical reasoning, code generation, and text analysis.
Prompt Compression and Semantic Caching Engineering in Practice
Prompt Engineering
Intermediate
Overly long prompts increase costs and reduce response speed. This article provides an in-depth explanation of prompt compression techniques and semantic caching practices, teaching you how to compress repetitive and lengthy prompts by over 60% and speed up similar requests by 10x through cache hits.
Structured Prompt Design Patterns
Prompt Engineering
Intermediate
Prompting is not just about writing a few instructions to get high-quality output. This article systematically explains six proven structured prompt design patterns, including role pattern, template pattern, constraint pattern, step-by-step pattern, reflection pattern, and combination pattern, helping you upgrade prompt engineering from intuition to methodology.
Best Practices for System Prompt Engineering
Prompt Engineering
Intermediate
System prompts are a key mechanism for controlling AI behavior. This article explains the design principles, role setting, constraint expression, structured output, and common pitfalls of system prompts, helping you write more precise prompts.
Multi-turn Dialogue Prompt Strategies
Prompt Engineering
Intermediate
Multi-turn dialogue is the most common interaction form in AI applications, but maintaining the quality and consistency of long conversations is a huge challenge. This article deeply analyzes core technologies such as context window management, memory compression, topic tracking, and dialogue state management to help you build smooth and intelligent multi-turn dialogue systems.
