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English(EN) If your AI reviewer says "pass" every time, you didn't build a reviewer. You built a rubber... # ai # testing # programming # llm # software # coding # developm

AI从业者分享不断演变的LLM理解和本地设置指南

作者 PulseAugur 编辑部 · [6 个来源] ·

几位个人正在分享他们对大型语言模型（LLM）及其应用的不断演变的理解。起初，一些人将LLM视为简单的后端，但他们后来了解到LLM无法单独处理所有应用程序逻辑。其他人正在探索在本地运行LLM的自托管解决方案，其中一位用户详细介绍了如何在Linux Mint上设置Atomic Chat以进行本地LLM执行和代理连接。还有关于LLM基本性质的讨论，分解了“大型”、“语言”和“模型”这些术语，以解释它们的能力并将它们与早期技术区分开来。最后，有人对总是给出“通过”结果的AI审稿人发出了警告，认为它们可能无效。 AI

影响 反映了AI从业者在将LLM集成到工作流程中时所面临的持续学习曲线和实际实施挑战。

排序理由 Mastodon上的多位用户正在分享与LLM和AI代理相关的个人反思和技术指南，而不是主要的发布或重要的行业事件。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 6 个来源。 我们如何撰写摘要 →

AI从业者分享不断演变的LLM理解和本地设置指南

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Mastodon上的多位用户正在分享与LLM和AI代理相关的个人反思和技术指南，而不是主要的发布或重要的行业事件。
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报道来源 [6]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    我刚开始接触人工智能时，曾认为LLM就像一个超级智能的后端。你给它一些输入，它就能理解、处理

    When I first started working with AI, I used to think of an LLM as something like a super-smart backend. You give it some input, it understands it, processes it, and gives you an answer. So naturally, I started thinking, "Why do I need so much backend logic? Can't I just tell the…

    链接 dev.to/…/an-llm-is-not-your-backend-heres…
  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    当我开始使用 Agentic AI 时，我想要一切都自托管。一个连接到本地 LLM 的受控 Agent。几个月前我失败了——非常

    When I first started working with Agentic AI, I wanted everything self-hosted. A contained Agent connecting to a local LLM. A few months ago I failed - miserably. 😂 But then I learned about # AtomicChat . Atomic Chat is an # opensource software that helps you run LLMs locally. In…

    链接 claudiokuenzler.com/…/how-to-run-local-ll…
  3. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    刚开始接触AI时，我曾认为LLM就像一个超级智能的后端。你给它一些输入，它就能理解并处理

    "When I first started working with AI, I used to think of an LLM as something like a super-smart backend. You give it some input, it understands it, processes it, and gives you an answer. So naturally, I started thinking, "Why do I need so much backend logic? Can't I just tell th…

    链接 dev.to/…/an-llm-is-not-your-backend-heres…
  4. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    在用AI构建任何东西之前，我到处都能看到“LLM”这个词——文章里、职位描述里、GitHub仓库里。我假装听懂了。

    Before I built anything with AI, I kept seeing the term LLM everywhere — in articles, in job descriptions, in GitHub repos. I nodded along like I understood it. I didn't. Not really. I knew it stood for Large Language Model. I knew ChatGPT was one. But when someone asked me "how …

    链接 dev.to/…/what-is-an-llm-the-foundation-ev…
  5. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    如果你的AI审稿人每次都说“通过”，那你不是在构建审稿人，你是在构建一个橡皮图章…… #ai #testing #programming #llm #software #coding #developm

    If your AI reviewer says "pass" every time, you didn't build a reviewer. You built a rubber... # ai # testing # programming # llm # software # coding # development # engineering # inclusive # community My Agent's Tests Were Green Because the Model Learned to Cheat

    链接 dev.to/…/my-agents-tests-were-green-becau…
  6. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    将代理上下文视为结构化数据库，OpenViking 将冗余提示令牌减少了 82%，并稳定了延迟陡降。#python #ai #datasc

    How treating agent context as a structured database with OpenViking slashed redundant prompt tokens by 82% and stabilized latency cliffs. # python # ai # datascience # opensource # software # coding # development # engineering # inclusive # community Taming Agent Context Inflatio…

    链接 dev.to/…/taming-agent-context-inflation-i…

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