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English(EN) Stop Optimizing the Prompt. Design the System.

AI发展:从提示词工程转向系统设计

作者提倡在构建AI工具时,从复杂的提示词工程转向更结构化的系统设计。与其依赖单个冗长的提示词来处理多项任务,不如建议将字符限制或数据计算等基于规则的操作分离到代码中。然后,语言模型应保留用于需要创造力、判断力或自然语言生成等任务,例如撰写评论或产品描述。最后,在工作流程中加入自动检查机制,确保一致性和准确性,防止因要求AI执行不适合的任务而产生的错误。 AI

影响 这种方法通过优化语言模型和传统代码的使用,可以带来更可靠且更具成本效益的AI应用。

排序理由 该条目是一篇讨论AI开发方法的观点文章,而非发布或研究发现。

在 Towards AI 阅读 →

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

AI发展:从提示词工程转向系统设计

本文如何被排名

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
该条目是一篇讨论AI开发方法的观点文章,而非发布或研究发现。
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]

  1. Towards AI TIER_1 English(EN) · Ariel Jiang ·

    停止优化提示词。设计系统。

    <h4><em>This story is written by me, with a little help from my writing buddy Claude.</em></h4><p>When an AI tool gives me different results every time, my first instinct is to blame the prompt. Maybe I was not clear enough. Maybe I forgot one rule. So I add a sentence, run it ag…