English Glossary¶
This glossary keeps the English edition consistent. Prefer these terms when editing or extending the English version.
| 中文 | English | Notes |
|---|---|---|
| 大型语言模型 / LLM | large language model / LLM | Use "LLM" after first mention when natural. |
| 续写 | continuation | Prefer "continuation" over "completion" when explaining the model's core mechanism. |
| 续写器 | continuation engine | The book's central metaphor for base LLM behavior. |
| 下一个 token 预测 | next-token prediction | Keep "token" untranslated. |
| 自回归生成 | autoregressive generation | Use for the generation loop that appends one token at a time. |
| 基座模型 | base model | Avoid "foundation model" when referring specifically to the pretrained, non-instruction-tuned model. |
| 对齐 | alignment | Use consistently for SFT/RLHF/DPO/safety shaping. |
| 预训练 | pretraining | One word. |
| 微调 | fine-tuning | Hyphenated. |
| 监督微调 / SFT | supervised fine-tuning / SFT | Spell out on first mention in a chapter. |
| 偏好 | preference | Used in RLHF/DPO contexts. |
| 强化学习 | reinforcement learning | Spell out unless paired with a standard acronym. |
| 奖励模型 | reward model | Use "RM" only after defining it. |
| 幻觉 | hallucination | Keep the established LLM term. |
| 知识幻觉 | knowledge hallucination | One of the three hallucination types in Chapter 7. |
| 推理幻觉 | reasoning hallucination | One of the three hallucination types in Chapter 7. |
| 指令幻觉 | instruction hallucination | One of the three hallucination types in Chapter 7. |
| 忠实性 | faithfulness | Use when discussing whether output is grounded in provided evidence or actual execution. |
| 硬伤 | hard limitations | Prefer this over "flaws" or "weaknesses" in chapter titles and summaries. |
| 能力边界 | capability boundaries | Use when discussing where LLMs are reliable or unreliable. |
| 模式识别 | pattern recognition | Core strength in Chapter 5. |
| 类比 | analogy | Use "analogical transfer" only when the sentence needs the process noun. |
| 格式转换 | format conversion | Chapter 5 and structured-output contexts. |
| 信息提取 | information extraction | Not just "extraction" in headings. |
| 少样本学习 | few-shot learning | Hyphenated. |
| 上下文学习 | in-context learning | Hyphenated. |
| 思维链 / CoT | chain-of-thought / CoT | Spell out on first mention in a chapter. |
| 推理模型 | reasoning model | Use for o1/R1-style models and similar systems. |
| 测试时计算 | test-time compute | Hyphenated. |
| 提示词 / Prompt | prompt | Lowercase except in headings or API names. |
| Prompt 工程 | prompt engineering | Use sparingly when the original says it. |
| 系统提示词 | system prompt | Not "system instruction" unless referring to a vendor API label. |
| 结构化输出 | structured output | Chapter 9 and tool/function-call contexts. |
| 函数调用 | function calling | Keep vendor-neutral unless discussing a specific API. |
| 受限解码 | constrained decoding | Chapter 9 term. |
| 知识注入 | knowledge injection | Chapter 10 title term. |
| 检索增强生成 / RAG | retrieval-augmented generation / RAG | Spell out on first mention in a chapter. |
| 长上下文 | long context | Use as a noun phrase. |
| 嵌入 / Embedding | embedding | Lowercase except in headings or API names. |
| 向量检索 | vector retrieval | Use for retrieval over embeddings. |
| 重排序 / 精排 | reranking / reranker | "Reranker" for the model/component. |
| 工具使用 | tool use | Prefer over "tool usage." |
| 智能体 / Agent | agent | Lowercase except in headings. |
| 反思 / Reflection | reflection | Agent and prompting pattern. |
| 多智能体 | multi-agent | Hyphenated. |
| 工作流 | workflow | Distinguish from "agent." |
| 评估 | evaluation | Use "eval" only for code or the established engineering shorthand. |
| 评估集 | eval set | Matches the book's engineering tone. |
| 回归测试 | regression testing | Chapter 12 term. |
| 可解释性 / Interpretability | interpretability | Lowercase except in headings. |
| 机制可解释性 | mechanistic interpretability | Chapter 13 term. |
| 超位 | superposition | Interpretability term. |
| 稀疏自编码器 / SAE | sparse autoencoder / SAE | Spell out on first mention in a chapter. |
| 回路 | circuit | Use "circuits" for the research area. |
| 特征 steering | feature steering | Keep "steering" because it is standard in this literature. |
| 多模态 | multimodal | One word. |
| 全模态模型 / Omni Models | omni models | Lowercase in prose; title case in headings if matching source. |
| 规模定律 | scaling laws | Plural. |
| 涌现能力 | emergent abilities | Chapter 3 term. |
| 过度训练 | over-training | Hyphenated. |
| 数据墙 | data wall | Chapter 15 term. |
| 开源 / 闭源 | open source / closed source | No hyphen as noun phrase. |