从数千到一：构建 LLM 驱动的选择系统

AI 摘要

Jendrik Jordening 在演讲中讨论了如何用 LLM 构建选择系统，源于采购自动化任务。他指出了 LLM 在决策中的问题，如上下文窗口限制、难以集成现有基础设施、易受提示注入攻击等。他还分享了使用 LLM 生成演示文稿的经验，并提出了规则 0：移除随机性，通过设置温度为 0 和禁用思考预算来确保输出稳定。

正文节选

Transcript Jendrik Jordening: I want to indeed talk about like, how can I choose with an LLM, where did this originate? We are automating procurement related tasks and that has a lot to do with like, choose the cost center that is responsible for the costs. It's like you need actually an ID in the database. When we started that it was all nice from a deep learning perspective. We needed to do something. We collected a dataset. We trained a model. It was of course easy to do a decision because we

发布时间：2026-08-17 17:06

抓取时间：2026-08-17 18:10

来源机构：InfoQ