--- title: "工程与架构 - AI 核心概念 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/ai-core/engineering/" dateModified: "2026-09-14T19:22:38+08:00" --- 打开 AI·外脑目录 AI·外脑 [返回专栏首页](https://siyuanailab.com/knowledge/) × 站内搜索 ⌕ 主要栏目 - [AI 核心概念](https://siyuanailab.com/knowledge/ai-core/) - [工作流](https://siyuanailab.com/knowledge/workflows/) - [工具配置与选型](https://siyuanailab.com/knowledge/toolkits/) - [信源与标准](https://siyuanailab.com/knowledge/sources/) - [场景案例 待开发](https://siyuanailab.com/knowledge/scenarios/) - [职业与能力](https://siyuanailab.com/knowledge/career/) 专题 - [从这里开始](https://siyuanailab.com/knowledge/start/) - [获取与安装](https://siyuanailab.com/knowledge/install/) - [建设日志](https://siyuanailab.com/knowledge/ops/) [AI 核心概念子目录](https://siyuanailab.com/knowledge/ai-core/) [基础概念 **9**](https://siyuanailab.com/knowledge/ai-core/foundations/) - [01-01 人工智能](https://siyuanailab.com/knowledge/ai-core/foundations/artificial-intelligence/) - [01-02 生成式 AI](https://siyuanailab.com/knowledge/ai-core/foundations/generative-ai/) - [01-03 大语言模型](https://siyuanailab.com/knowledge/ai-core/foundations/large-language-model/) - [01-05 机器学习](https://siyuanailab.com/knowledge/ai-core/foundations/machine-learning/) - [01-06 神经网络](https://siyuanailab.com/knowledge/ai-core/foundations/neural-network/) - [01-07 Transformer 架构](https://siyuanailab.com/knowledge/ai-core/foundations/transformer-architecture/) - [01-08 参数](https://siyuanailab.com/knowledge/ai-core/foundations/parameters/) - [01-09 训练数据](https://siyuanailab.com/knowledge/ai-core/foundations/training-data/) - [01-10 预训练](https://siyuanailab.com/knowledge/ai-core/foundations/pre-training/) [模型与机制 **12**](https://siyuanailab.com/knowledge/ai-core/models/) - [02-01 Token](https://siyuanailab.com/knowledge/ai-core/models/token/) - [02-02 上下文窗口](https://siyuanailab.com/knowledge/ai-core/models/context-window/) - [02-03 注意力机制](https://siyuanailab.com/knowledge/ai-core/models/attention-mechanism/) - [02-04 嵌入/向量](https://siyuanailab.com/knowledge/ai-core/models/embedding/) - [02-05 检索增强生成](https://siyuanailab.com/knowledge/ai-core/models/retrieval-augmented-generation/) - [02-06 微调](https://siyuanailab.com/knowledge/ai-core/models/fine-tuning/) - [02-07 提示词工程](https://siyuanailab.com/knowledge/ai-core/models/prompt-engineering/) - [02-09 思维链](https://siyuanailab.com/knowledge/ai-core/models/chain-of-thought/) - [02-10 推理](https://siyuanailab.com/knowledge/ai-core/models/reasoning/) - [02-11 幻觉](https://siyuanailab.com/knowledge/ai-core/models/hallucination/) - [02-12 对齐](https://siyuanailab.com/knowledge/ai-core/models/alignment/) - [02-13 温度/采样参数](https://siyuanailab.com/knowledge/ai-core/models/temperature/) [Agent 与智能体系统 **8**](https://siyuanailab.com/knowledge/ai-core/agents/) - [03-01 智能体](https://siyuanailab.com/knowledge/ai-core/agents/ai-agent/) - [03-02 多智能体系统](https://siyuanailab.com/knowledge/ai-core/agents/multi-agent-system/) - [03-04 工具调用](https://siyuanailab.com/knowledge/ai-core/agents/tool-use-function-calling/) - [03-05 记忆系统](https://siyuanailab.com/knowledge/ai-core/agents/memory-system/) - [03-06 规划能力](https://siyuanailab.com/knowledge/ai-core/agents/planning/) - [03-07 委托机制](https://siyuanailab.com/knowledge/ai-core/agents/delegation/) - [03-08 模型上下文协议](https://siyuanailab.com/knowledge/ai-core/agents/model-context-protocol/) - [03-09 智能体工作流](https://siyuanailab.com/knowledge/ai-core/agents/agentic-workflow/) [工程与架构 **7**](https://siyuanailab.com/knowledge/ai-core/engineering/) - [04-01 AI 工程学](https://siyuanailab.com/knowledge/ai-core/engineering/ai-engineering/) - [04-02 LLM 网关](https://siyuanailab.com/knowledge/ai-core/engineering/llm-gateway/) - [04-04 测试时计算](https://siyuanailab.com/knowledge/ai-core/engineering/test-time-compute/) - [04-06 上下文工程](https://siyuanailab.com/knowledge/ai-core/engineering/context-engineering/) - [04-07 Vibe Coding](https://siyuanailab.com/knowledge/ai-core/engineering/vibe-coding/) - [04-08 人参与循环](https://siyuanailab.com/knowledge/ai-core/engineering/human-in-the-loop/) - [04-09 评估方法](https://siyuanailab.com/knowledge/ai-core/engineering/evaluation-methods/) [交互与提示 **4**](https://siyuanailab.com/knowledge/ai-core/interaction/) - [05-01 系统提示词](https://siyuanailab.com/knowledge/ai-core/interaction/system-prompt/) - [05-03 少样本提示](https://siyuanailab.com/knowledge/ai-core/interaction/few-shot-prompting/) - [05-04 角色提示](https://siyuanailab.com/knowledge/ai-core/interaction/role-prompting/) - [05-05 提示词注入](https://siyuanailab.com/knowledge/ai-core/interaction/prompt-injection/) [安全与治理 **4**](https://siyuanailab.com/knowledge/ai-core/safety/) - [06-01 AI 安全](https://siyuanailab.com/knowledge/ai-core/safety/ai-safety/) - [06-03 智能体治理](https://siyuanailab.com/knowledge/ai-core/safety/agent-governance/) - [06-04 模型偏见](https://siyuanailab.com/knowledge/ai-core/safety/model-bias/) - [06-05 数据隐私](https://siyuanailab.com/knowledge/ai-core/safety/data-privacy/) Engineering # 工程与架构 把 AI 能力放进真实业务流程的工程方法 共 7 张词条卡片 工程与架构词条列表 | 编号 | 词条 | 英文名 | 一句话摘要 | 标签 | | --- | --- | --- | --- | --- | | 04-01 | [AI 工程学](https://siyuanailab.com/knowledge/ai-core/engineering/ai-engineering/) | AI Engineering | 把大模型能力变成可靠、可控、可维护产品和流程的工程方法。 | AI工程学AI Engineering工程化 | | 04-02 | [LLM 网关](https://siyuanailab.com/knowledge/ai-core/engineering/llm-gateway/) | LLM Gateway | 位于应用和多个模型供应商之间的统一入口，用于管理调用、路由、限流、日志和成本。 | LLM网关模型管理AI工程 | | 04-04 | [测试时计算](https://siyuanailab.com/knowledge/ai-core/engineering/test-time-compute/) | Test-time Compute | 在模型回答阶段投入更多计算，如多步推理、多次采样、搜索或自检，以换取更好结果。 | Test-time Compute推理成本 | | 04-06 | [上下文工程](https://siyuanailab.com/knowledge/ai-core/engineering/context-engineering/) | Context Engineering | 系统性选择、组织、压缩和注入模型所需上下文的工程方法。 | 上下文工程ContextAI工程 | | 04-07 | [Vibe Coding](https://siyuanailab.com/knowledge/ai-core/engineering/vibe-coding/) | Vibe Coding | 用自然语言和 AI 编程工具快速表达意图、生成代码、边跑边改的开发方式。 | Vibe CodingAI编程原型 | | 04-08 | [人参与循环](https://siyuanailab.com/knowledge/ai-core/engineering/human-in-the-loop/) | Human-in-the-loop | 在 AI 流程中保留人类审核、纠偏或最终决策的机制。 | Human-in-the-loop人机协同治理 | | 04-09 | [评估方法](https://siyuanailab.com/knowledge/ai-core/engineering/evaluation-methods/) | Evaluation Methods | 用测试集、基准、人工审核、自动指标或实战任务来判断 AI 系统表现的方法。 | 评估Evals质量 |