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Chain-of-Thought Deep Dive Prompt Engineering Advanced Chain-of-Thought (CoT) is not just about adding 'Let's think step by step'. This article deeply analyzes the working mechanism, variant strategies, and cutting-edge progress of CoT from three dimensions: cognitive science, information theory, and engineering practice, helping you truly understand the essence of AI reasoning. 2026-07 ·20 min read 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. 2025-04 ·15 min read 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. 2026-07 ·17 min read 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. 2025-06 ·22 min read 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. 2026-08 ·18 min read 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. 2026-07 ·18 min read 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. 2026-07 ·18 min read Structured Output and JSON Mode in Practice Prompt Engineering Advanced In production environments, unstructured output from AI is difficult to use directly. This article provides an in-depth explanation of how to make large models output structured data, including JSON Schema constraints, Pydantic integration, and best practices for structured output. 2025-05 ·14 min read Prompt Engineering Basics: From Zero to Mastery Prompt Engineering Beginner Prompt engineering is a fundamental skill for AI application development. Starting from basic concepts, this article systematically explains the components, design principles, and optimization methods of prompts, helping beginners quickly master the core techniques of effective communication with AI. 2025-03 ·12 min read 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. 2026-07 ·16 min read Prompt Security and Injection Defense Prompt Engineering Advanced Prompt injection is the primary security threat to AI applications. Attackers can bypass system instructions, steal sensitive information, and induce malicious behavior through carefully crafted inputs. This article explains in depth the attack vectors, detection methods, and defense strategies of prompt injection to help you build secure AI applications. 2026-07 ·17 min read Prompt Injection Defense and Security Hardening Prompt Engineering Advanced Prompt injection is the number one security threat facing large model applications. This article provides an in-depth analysis of various injection attack principles and offers systematic defense strategies, including input filtering, output validation, sandbox isolation, and permission control. 2025-07 ·17 min read