English(EN) The prompt was long and mostly fixed. Four thousand tokens of instructions, the product manual, a dozen examples. Then the user's question at the bottom. The pr

由于时间戳放置在提示的开头，提示缓存失败

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 05:33

一位名叫Serguey Asael Shinder的软件工程师观察到，由于时间戳被放置在提示的开头，提示缓存无效。提示缓存依赖于相同的前缀，而每次请求开头不断变化的时间戳阻止了任何缓存token的重用。Shinder建议重新排序提示，将指令和工具定义等稳定元素放在前面，然后是时间戳和用户问题等会话特定和请求特定的信息，以最大限度地提高缓存效率。 AI

影响优化提示结构可以显著降低LLM的推理成本和延迟。

排序理由作者讨论了关于LLM中提示缓存有效性的技术观察。

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 作者讨论了关于LLM中提示缓存有效性的技术观察。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: infra, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-10-15 05:33

提示词很长，大部分是固定的。四千个标记的指令，产品手册，十几个例子。然后是用户在底部的问题。pr

The prompt was long and mostly fixed. Four thousand tokens of instructions, the product manual, a dozen examples. Then the user's question at the bottom. The provider offered prompt caching. Somebody turned it on. The bill did not move. The latency did not move. The dashboard sho…

链接 dev.to/…/you-put-the-time-at-the-top-of-t…

本文如何被排名

报道来源 [1]

提示词很长，大部分是固定的。四千个标记的指令，产品手册，十几个例子。然后是用户在底部的问题。pr

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