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Agentic workflows vs. AI agents: Understanding the difference

Agentic workflows 与 AI agents 的区别在于由哪个实体决定操作顺序。Agentic workflows 涉及预定义的步骤序列,其中代码决定下一步操作,语言模型可能在该序列中执行特定任务。相比之下,AI agents 是语言模型本身选择后续工具或操作的系统,提供更动态的决策。这两种设计之间的选择取决于具体的任务需求,workflows 适用于数据处理或文档起草等固定流程,而 agents 则更适合复杂、自适应的过程。 AI

影响 为 AI 开发者澄清术语,帮助选择适合特定任务的 agentic 系统。

排序理由 该条目讨论了 AI agent 开发中的概念和区别,而不是宣布新产品或研究发现。

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 →

Agentic workflows vs. AI agents: Understanding the difference

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
该条目讨论了 AI agent 开发中的概念和区别,而不是宣布新产品或研究发现。
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
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Tirth Gajjar ·

    Agentic workflows vs AI agents,以及何时不应构建一个

    <p>An agentic workflow is a multi-step process in which a language model does part of the work, such as drafting, classifying, retrieving or calling a tool. The term covers two designs: in one, code you wrote picks every next step, and in the other the model picks it, a design mo…