English(EN) Don't let the LLM do the maths: grading writing with AI but scoring in code

开发者使用代码对大型语言模型进行评分，以确保准确性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-11 22:03

一位为德语B1/B2考试准备平台开发的开发者发现，像Gemini这样的大型语言模型在进行字数统计和算术评分等精确计算方面并不可靠。为了确保准确性，该开发者实施了一个系统，其中大型语言模型负责基于语言的评分和反馈，而自定义代码则执行所有计算任务。这种分离的方法可以验证大型语言模型的输出，并保证正确应用客观评分规则，从而防止在大型语言模型生成的结果中难以检测到的错误。 AI

影响强调了需要混合系统，其中大型语言模型处理语言任务，代码处理精确计算，以实现可靠的人工智能应用。

排序理由开发者描述了为人工智能驱动的工具设计的具体实现细节。

在 dev.to — LLM tag 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: 18 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 开发者描述了为人工智能驱动的工具设计的具体实现细节。
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: product, 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]

dev.to — LLM tag TIER_1 English(EN) · Nikolai | ExamReady · 2026-10-11 22:03

别让大型语言模型代算数学：用AI批改写作，用代码评分

<p>If you ask a language model to grade a text and also to count the words, add up the points and apply the scoring rules, it will usually give you a confident answer. Sometimes the answer will be wrong, and you won't notice, because the output looks reasonable.</p> <p>I ran into…

本文如何被排名

报道来源 [1]

别让大型语言模型代算数学：用AI批改写作，用代码评分

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