English(EN) In this article, Aditya Mulik explains how treating the LLM stack as platform infrastructure reduced hallucinations from 15% to 1.5% in a production inventory r

平台工程将 LLM 幻觉减少 90%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 21:53

Aditya Mulik 详细介绍了一种通过将 LLM 堆栈视为平台基础设施来减少大型语言模型幻觉的策略。这种方法应用于生产库存推荐系统，将幻觉从 15% 降低到 1.5%。此平台工程手册的关键组成部分包括提示注册和版本控制、带有重试循环的模式强制执行以及令牌成本归属。 AI

影响这种方法可以显著提高生产环境中基于 LLM 的应用程序的可靠性和效率。

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Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-07 21:53

Aditya Mulik 在本文中解释了如何将 LLM 堆栈视为平台基础设施，将生产库存中的幻觉从 15% 降低到 1.5%

In this article, Aditya Mulik explains how treating the LLM stack as platform infrastructure reduced hallucinations from 15% to 1.5% in a production inventory recommendation system. Key platform primitives covered: → Prompt registry & versioning → Schema enforcement & retry loops…

链接 infoq.com/…/platform-engineering-playbook…

本文如何被排名

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Aditya Mulik 在本文中解释了如何将 LLM 堆栈视为平台基础设施，将生产库存中的幻觉从 15% 降低到 1.5%

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