https://guijiagi.com/categories/prompt%E5%B7%A5%E7%A8%8B/Recent content in Prompt工程 on 硅基 AGI · 智能体学习与测评Hugozh-cn本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权Thu, 16 Jul 2026 11:32:00 +0800https://guijiagi.com/posts/b1-3a10a3e6/Thu, 16 Jul 2026 11:32:00 +0800https://guijiagi.com/posts/b1-3a10a3e6/深入探讨AI Agent系统提示词的设计原则与高级技巧，构建有个性、有能力的智能体人格https://guijiagi.com/posts/b1-82eeb3fa/Thu, 16 Jul 2026 11:14:00 +0800https://guijiagi.com/posts/b1-82eeb3fa/系统化讲解Prompt工程的科学方法，涵盖结构化Prompt设计、Few-Shot策略、思维链推理等核心技巧https://guijiagi.com/posts/b2-337d8871/Thu, 16 Jul 2026 10:12:00 +0800https://guijiagi.com/posts/b2-337d8871/从CoT到ToT再到GoT，系统梳理提示工程中的推理增强技术栈及其适用场景https://guijiagi.com/posts/article-30/Sun, 12 Jul 2026 21:50:00 +0800https://guijiagi.com/posts/article-30/提示工程从零样本到少样本再到思维链的演进历程与最佳实践https://guijiagi.com/posts/b2-fdd58cfb/Sun, 12 Jul 2026 21:50:00 +0800https://guijiagi.com/posts/b2-fdd58cfb/提示工程从零样本到少样本再到思维链的演进历程与最佳实践https://guijiagi.com/posts/article-18/Sun, 12 Jul 2026 19:50:00 +0800https://guijiagi.com/posts/article-18/从CoT到ToT再到GoT，系统梳理Prompt工程中思维结构化的技术演进和实践方法https://guijiagi.com/posts/b2-e84f5637/Sun, 12 Jul 2026 19:50:00 +0800https://guijiagi.com/posts/b2-e84f5637/从CoT到ToT再到GoT，系统梳理Prompt工程中思维结构化的技术演进和实践方法https://guijiagi.com/posts/creative-prompt-patterns/Thu, 02 Jul 2026 11:14:00 +0800https://guijiagi.com/posts/creative-prompt-patterns/2026年创意提示工程技术，激发LLM在写作、设计、头脑风暴等创意任务中的表现https://guijiagi.com/posts/reasoning-prompt-techniques/Thu, 02 Jul 2026 11:13:00 +0800https://guijiagi.com/posts/reasoning-prompt-techniques/2026年推理增强提示技术全面指南，覆盖Self-Consistency、ToT、ReAct等进阶技巧https://guijiagi.com/posts/prompt-template-reuse/Thu, 02 Jul 2026 11:12:00 +0800https://guijiagi.com/posts/prompt-template-reuse/2026年提示模板复用与管理系统，提升提示工程效率https://guijiagi.com/posts/prompt-testing-methodology/Thu, 02 Jul 2026 11:11:00 +0800https://guijiagi.com/posts/prompt-testing-methodology/2026年提示工程测试方法学，系统化评估和优化提示效果https://guijiagi.com/posts/system-prompt-design-2026/Thu, 02 Jul 2026 11:10:00 +0800https://guijiagi.com/posts/system-prompt-design-2026/2026年系统提示（System Prompt）设计最佳实践，定义AI的角色、行为和边界https://guijiagi.com/posts/multi-turn-prompt-optimization/Thu, 02 Jul 2026 11:09:00 +0800https://guijiagi.com/posts/multi-turn-prompt-optimization/2026年多轮对话提示工程技术，优化上下文管理与对话连贯性https://guijiagi.com/posts/prompt-injection-defense-prompt/Thu, 02 Jul 2026 11:08:00 +0800https://guijiagi.com/posts/prompt-injection-defense-prompt/2026年提示注入攻击防御技术指南，保护AI应用免受恶意提示攻击https://guijiagi.com/posts/structured-prompt-engineering/Thu, 02 Jul 2026 11:07:00 +0800https://guijiagi.com/posts/structured-prompt-engineering/结构化提示工程技术指南，确保LLM输出格式可控、可解析、可验证https://guijiagi.com/posts/few-shot-prompting-2026/Thu, 02 Jul 2026 11:06:00 +0800https://guijiagi.com/posts/few-shot-prompting-2026/2026年少样本提示（Few-Shot Prompting）最新技术与应用场景指南https://guijiagi.com/posts/chain-of-thought-2026-advanced/Thu, 02 Jul 2026 11:05:00 +0800https://guijiagi.com/posts/chain-of-thought-2026-advanced/2026年思维链（Chain-of-Thought）提示工程进阶技巧与最佳实践https://guijiagi.com/posts/system-prompt-design-principles/Tue, 30 Jun 2026 11:20:00 +0800https://guijiagi.com/posts/system-prompt-design-principles/深入探讨System Prompt的设计原则与最佳实践，涵盖角色设定、行为约束、安全规则、输出格式等核心要素的工程化设计https://guijiagi.com/posts/prompt-security-hardening-injection-leak-manipulation/Tue, 30 Jun 2026 11:15:00 +0800https://guijiagi.com/posts/prompt-security-hardening-injection-leak-manipulation/系统介绍Prompt安全加固的完整方案，覆盖防注入、防System Prompt泄露、防用户操纵三大核心领域，提供工程化实现https://guijiagi.com/posts/multilingual-prompt-engineering-chinese/Tue, 30 Jun 2026 11:10:00 +0800https://guijiagi.com/posts/multilingual-prompt-engineering-chinese/深入探讨多语言Prompt工程的挑战与技巧，重点关注中文Prompt的特殊处理方法，包括语义差异、文化适配与混合语言策略https://guijiagi.com/posts/prompt-version-control-ab-testing/Tue, 30 Jun 2026 11:05:00 +0800https://guijiagi.com/posts/prompt-version-control-ab-testing/详细介绍如何对Prompt实施版本控制与A/B测试，建立数据驱动的Prompt优化流程，包含统计方法与工程实现https://guijiagi.com/posts/prompt-template-management-enterprise/Tue, 30 Jun 2026 11:00:00 +0800https://guijiagi.com/posts/prompt-template-management-enterprise/系统介绍企业级Prompt模板管理方案，涵盖模板设计、版本控制、权限管理、性能监控等核心实践https://guijiagi.com/posts/few-shot-prompting-2026-example-selection/Tue, 30 Jun 2026 10:55:00 +0800https://guijiagi.com/posts/few-shot-prompting-2026-example-selection/深入探讨2026年Few-shot Prompting的最佳实践，涵盖示例选择算法、排列优化策略、跨语言Few-shot等进阶技术https://guijiagi.com/posts/structured-output-json-mode-to-function-calling/Tue, 30 Jun 2026 10:50:00 +0800https://guijiagi.com/posts/structured-output-json-mode-to-function-calling/全面介绍2026年LLM结构化输出技术，包括JSON Mode、Function Calling、Constrained Decoding等方案及其实际应用https://guijiagi.com/posts/prompt-engineering-cot-variants/Tue, 30 Jun 2026 10:45:00 +0800https://guijiagi.com/posts/prompt-engineering-cot-variants/深入讲解Chain-of-Thought的各种变体，包括CoT、CoT-SC、ToT、GoT等，以及2026年最新实践技巧与代码实现https://guijiagi.com/posts/prompt-engineering-2026/Tue, 30 Jun 2026 09:10:00 +0800https://guijiagi.com/posts/prompt-engineering-2026/2026年Prompt工程全景指南：从基础技巧到结构化Prompt、多模态Prompt、Agent Prompt、企业级Prompt管理系统https://guijiagi.com/posts/prompt-compression-techniques/Sun, 28 Jun 2026 10:45:00 +0800https://guijiagi.com/posts/prompt-compression-techniques/2026年Prompt压缩技术全景：从符号化压缩到语义压缩的最新方法与工程实现https://guijiagi.com/posts/few-shot-prompt-optimization/Sun, 28 Jun 2026 10:40:00 +0800https://guijiagi.com/posts/few-shot-prompt-optimization/从人工选择到算法化选择：Few-Shot Prompt示例选择的最新方法与实现https://guijiagi.com/posts/prompt-version-management-platform/Sun, 28 Jun 2026 10:35:00 +0800https://guijiagi.com/posts/prompt-version-management-platform/从零搭建Prompt版本管理平台：版本控制、A/B测试、灰度发布与回滚机制https://guijiagi.com/posts/multilingual-prompt-engineering/Sun, 28 Jun 2026 10:30:00 +0800https://guijiagi.com/posts/multilingual-prompt-engineering/多语言Prompt工程的系统方法论：从语言选择、跨语言一致性到文化适配的完整指南https://guijiagi.com/posts/system-prompt-design-methodology/Sun, 28 Jun 2026 10:15:00 +0800https://guijiagi.com/posts/system-prompt-design-methodology/系统化System Prompt设计方法论：从角色定义、约束设定到知识注入的完整框架https://guijiagi.com/posts/structured-output-prompt-design/Sun, 28 Jun 2026 10:10:00 +0800https://guijiagi.com/posts/structured-output-prompt-design/2026年让大模型稳定输出结构化数据的完整方案：从 Prompt 设计到约束解码的工程实践https://guijiagi.com/posts/chain-of-thought-advanced-tot-got/Sun, 28 Jun 2026 10:05:00 +0800https://guijiagi.com/posts/chain-of-thought-advanced-tot-got/深入解析 CoT 的进化路线——Tree-of-Thought 与 Graph-of-Thought 推理框架，附代码实现与效果对比https://guijiagi.com/posts/prompt-engineering-2026-practices/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/prompt-engineering-2026-practices/2026年Prompt工程已从个人技巧发展为系统化工程体系，本文全面梳理从设计、测试、版本管理到监控的完整流程https://guijiagi.com/posts/chain-of-thought-advanced/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/chain-of-thought-advanced/从基础CoT到高级变体的全面指南，掌握思维链提示工程的进阶技巧https://guijiagi.com/posts/cot-prompting-advanced/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/cot-prompting-advanced/Chain-of-Thought提示工程进阶https://guijiagi.com/posts/few-shot-prompting-best-practices/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/few-shot-prompting-best-practices/从示例选择到格式优化的Few-Shot Prompting全面实践指南https://guijiagi.com/posts/prompt-version-management/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/prompt-version-management/将Prompt纳入版本管理的工程实践，从Git工作流到自动化测试的完整方案https://guijiagi.com/posts/prompt-template-management-system/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/prompt-template-management-system/构建可扩展的Prompt模板管理系统，实现Prompt的版本化、参数化和可观测管理https://guijiagi.com/posts/prompt-template-management/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/prompt-template-management/Prompt模板管理系统设计https://guijiagi.com/posts/prompt-compression/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/prompt-compression/Prompt压缩技术https://guijiagi.com/posts/react-prompting-practice/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/react-prompting-practice/ReAct（Reasoning and Acting）提示框架的原理、模板与工程实践https://guijiagi.com/posts/multi-turn-dialogue-optimization/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/multi-turn-dialogue-optimization/多轮对话场景下的Prompt优化策略，解决上下文管理、话题漂移和一致性挑战https://guijiagi.com/posts/multiturn-prompt-optimization/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/multiturn-prompt-optimization/多轮对话Prompt优化策略https://guijiagi.com/posts/structured-prompt-design-patterns/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/structured-prompt-design-patterns/系统化Prompt设计模式，从角色定义到输出控制的工程化方法论https://guijiagi.com/posts/cot-variants-comparison/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/cot-variants-comparison/Zero-shot CoT、Few-shot CoT、Auto-CoT等思维链变体的深度对比与选型指南https://guijiagi.com/posts/system-prompt-security-hardening/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/system-prompt-security-hardening/系统Prompt的安全加固方法，防止信息泄露和注入攻击的实战指南https://guijiagi.com/posts/system-prompt-security/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/system-prompt-security/系统Prompt安全加固指南https://guijiagi.com/posts/self-consistency-prompting/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/self-consistency-prompting/自我一致性Self-Consistency技巧https://guijiagi.com/posts/self-consistency-technique/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/self-consistency-technique/Self-Consistency技巧的原理、实现与优化策略，提升推理可靠性的利器https://guijiagi.com/posts/agent-prompt-iteration/Fri, 26 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/agent-prompt-iteration/将 Prompt 优化从手工试错提升为系统工程化流程，涵盖版本管理、A/B 测试、评估闭环与自动化迭代https://guijiagi.com/posts/prompt-chain-design/Fri, 26 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/prompt-chain-design/系统讲解 Prompt 链式设计的原理、模式与工程实践，构建从简单推理到复杂任务分解的完整方法论https://guijiagi.com/posts/advanced-prompt-techniques/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/advanced-prompt-techniques/深度探讨提示工程中的高阶技术，包括 Expert Prompting、Contrastive、Meta Prompting 等前沿方法。https://guijiagi.com/posts/chain-of-thought-mastery/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/chain-of-thought-mastery/深入解析 Chain of Thought 提示技术，从基础概念到高级变体，全面掌握 CoT 推理增强的实践方法。https://guijiagi.com/posts/few-shot-prompt-engineering/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/few-shot-prompt-engineering/深入探索 Few-shot 提示工程，掌握通过示例驱动大模型行为的技术原理和最佳实践。https://guijiagi.com/posts/output-control-and-formatting/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/output-control-and-formatting/系统掌握大模型输出控制技术，从格式约束到结构化输出，实现 AI 输出的精确管控。https://guijiagi.com/posts/prompt-decomposition/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/prompt-decomposition/掌握 Prompt 分解技术，将复杂任务拆解为可管理的子任务，提升 AI 输出的质量和可靠性。https://guijiagi.com/posts/prompt-rules-and-knowledge/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/prompt-rules-and-knowledge/系统性地掌握 Prompt 中规则约束和领域知识注入的技术，构建可靠可控的 AI 应用。https://guijiagi.com/posts/prompt-templates-design/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/prompt-templates-design/系统讲解 Prompt 模板的设计原则、最佳实践和工业级可复用模板系统构建方案。https://guijiagi.com/posts/role-playing-and-persona-design/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/role-playing-and-persona-design/深入探索 LLM 角色扮演技术，系统掌握人设 Prompt 设计方法，打造个性化的 AI 角色体验。https://guijiagi.com/posts/few-shot-prompting-guide/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/few-shot-prompting-guide/深入解析 In-Context Learning 原理、示例数量与选择策略对 LLM 输出质量的影响https://guijiagi.com/posts/system-prompt-engineering/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/system-prompt-engineering/系统讲解 System Prompt 的结构设计、角色定义、约束设定、输出控制、版本管理与 A/B 测试https://guijiagi.com/posts/multi-turn-prompt-design/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/multi-turn-prompt-design/系统讲解上下文窗口管理、对话摘要、状态追踪、记忆注入与长对话策略https://guijiagi.com/posts/structured-output-prompting/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/structured-output-prompting/系统讲解 JSON Schema 约束、Function Calling、Pydantic 验证、错误修复循环等结构化输出技术https://guijiagi.com/posts/react-prompt-pattern/Wed, 24 Jun 2026 16:00:00 +0800https://guijiagi.com/posts/react-prompt-pattern/深入解析 ReAct 模式的 Thought-Action-Observation 循环、工具调用集成与代码实现https://guijiagi.com/posts/self-consistency-guide/Wed, 24 Jun 2026 16:00:00 +0800https://guijiagi.com/posts/self-consistency-guide/深入解析 Self-Consistency 技术，通过多次采样与多数投票显著提升 LLM 推理质量https://guijiagi.com/posts/prompt-chaining-advanced/Wed, 24 Jun 2026 16:00:00 +0800https://guijiagi.com/posts/prompt-chaining-advanced/深入探讨 Prompt 链式调用的架构模式，构建可靠的 LLM 推理流水线https://guijiagi.com/posts/meta-prompting-guide/Wed, 24 Jun 2026 16:00:00 +0800https://guijiagi.com/posts/meta-prompting-guide/系统介绍 Meta-Prompting 技术，让 LLM 自动优化提示词，从 APE 到 OPRO 到自动进化https://guijiagi.com/posts/few-shot-prompt-design/Wed, 24 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/few-shot-prompt-design/系统讲解 Few-shot Prompt 设计的原理、示例选择策略、顺序效应、格式设计与 Fine-tune 的边界判断。https://guijiagi.com/posts/prompt-version-control/Wed, 24 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/prompt-version-control/Prompt as Code 理念实践：Git 管理、A/B 测试框架、回归测试、线上监控与 PromptHub/LangSmith 工具链。https://guijiagi.com/posts/chain-of-thought-guide/Wed, 24 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/chain-of-thought-guide/深入解析思维链（Chain-of-Thought）Prompt 工程技术，涵盖 Zero-shot CoT、Few-shot CoT、Self-Consistency、Tree-of-Thought 与 Graph-of-Thought 的原理、对比与实战。https://guijiagi.com/posts/prompt-engineering-advanced/Wed, 24 Jun 2026 10:20:00 +0800https://guijiagi.com/posts/prompt-engineering-advanced/超越 Few-shot 和 Chain-of-Thought，构建可维护的 Prompt 工程体系https://guijiagi.com/posts/prompt-engineering-practice/Fri, 19 Jun 2026 14:00:00 +0800https://guijiagi.com/posts/prompt-engineering-practice/Prompt 不是「求 AI 帮忙」，而是「指挥 AI 干活」。本文用 20 个真实案例拆解 Prompt 工程的核心技巧。https://guijiagi.com/posts/context-engineering/Wed, 10 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/context-engineering/Prompt 工程已死，上下文工程当立。当 Agent 需要处理 2M tokens 的上下文时，如何管理注意力分配？