Martin Fowler 介绍用 LLM 生成术语表提升领域问答准确性
Martin Fowler 写了个实用小技巧：先让 LLM 把专业术语整理成术语表，再塞进上下文给别的 LLM 用。做医疗、法律、金融这类行话多的文档处理时能明显少出幻觉，动手成本低。
Martin Fowler 发文介绍一种应对专业领域术语缺失的提示词技巧：先让一个 LLM 通读领域材料，生成一份领域术语表（glossary），再把术语表放进上下文，供其他 LLM 处理该领域任务时参考。
核心思路是让术语解释成为上下文的一部分，弥补模型训练集中没有的专业词汇。文中给出了具体流程说明，属于可直接复用的工作流方法，适合处理行业术语密集的文档问答或翻译场景。
A specialized domain has many terms that won't be in LLMs' training set. A technique to mitigate this is to have an LLM generate a glossary to include in context for other LLMs to use. martinfowler.com/bliki/Generate…📊 11 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include 提示词工程, 术语表, RAG, Martin Fowler.
Source attribution: curated from Martin Fowler (@martinfowler).
