English(EN) I've been trying to minimize my use of LLMs, but as a software engineer there are some tasks that are way easier, so it's hard to cut out completely. So I've st

工程师使用Ollama进行私有大语言模型任务，避免数据训练

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-18 00:55

一位软件工程师正试图减少对大语言模型（LLMs）的依赖，但发现它们在某些任务中不可或缺。为了维护隐私并避免其数据被用于训练，他们选择付费使用Ollama，一个开源模型服务。这使他们能够使用glm5.2、kimi-k2.7、Claude和Codex等各种模型，同时保持提示的私密性。 AI

影响使用Ollama等服务使开发人员能够维护数据隐私和对模型训练的控制，这可能会影响个人和企业采用大语言模型技术的方式。

排序理由该条目是对使用大语言模型服务的个人反思，而非产品发布或重要的行业事件。

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 该条目是对使用大语言模型服务的个人反思，而非产品发布或重要的行业事件。
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, infra; 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: 96 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-06-18 00:55

我一直在努力尽量少用LLM，但作为一名软件工程师，有些任务确实要容易得多，所以很难完全放弃。所以我已经开始

I've been trying to minimize my use of LLMs, but as a software engineer there are some tasks that are way easier, so it's hard to cut out completely. So I've started paying for Ollama so I can use open source models (glm5.2, kimi-k2.7) in the cloud whenever possible. Works with c…

本文如何被排名

报道来源 [1]

我一直在努力尽量少用LLM，但作为一名软件工程师，有些任务确实要容易得多，所以很难完全放弃。所以我已经开始

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