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5 posts tagged with "LLM"

大規模言語モデル(LLM)の活用・評価・ローカル実行(Ollama / RAG / ベンチマーク等)に関する記事。

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Keeping Claude Code Docs Out of the Public Repo with .git/info/exclude — A Design Log on Exclusion and History Management

· 8 min read
hiroaki
Individual Developer
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When I introduced Claude Code into a personal OSS repository I develop and maintain on my own, a requirement emerged: I wanted to keep the AI-related settings and documentation out of the public repository and operate them locally only. In this post, I focus on the two topics I spent the most time considering — the use cases for exclusion settings, and the design of history management, which tends to become scattered in AI-assisted workflows.

Context and Assumptions

The target is a solo-developed (personal OSS) repository, with branch protection requiring PRs and CI already configured on main / develop. Claude Code is used from within the editor, and the main tasks are refactoring, writing articles, and improving features — repetitive work that mostly stays local.

I Released a Private LLM Chat Tool That Runs on Google Colab's GPU and Stores No Logs.

· 4 min read
hiroaki
Individual Developer
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ChatGPT and Claude are great tools, but do you ever hesitate before typing something work-related or personal into them? On the other hand, setting up a local GPU environment to run Ollama yourself is a steep barrier in terms of both effort and cost.

So I built a private LLM chat environment using Google Colab's free GPU — one that never sends conversation logs outside the instance — and packaged it into a single notebook. Run the cells from top to bottom, and it's ready to go.

The setup steps and usage of this tool are explained in detail in the technical documentation.

Releasing "Ollama Colab Free Server" — Run Ollama on Google Colab as a Free LLM Server

· 3 min read
hiroaki
Individual Developer
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Today I'm releasing Ollama Colab Free Server, an open-source notebook that runs Ollama on Google Colab's free GPU and makes it instantly available as a backend for Claude Code and Continue. Execute the cells top to bottom, and a publicly accessible LLM server is up within minutes.

The setup steps and usage of this tool are explained in detail in the technical documentation.

Releasing Ollama Multi-Model Benchmarker: Compare Local LLMs for Free on Google Colab

· 3 min read
hiroaki
Individual Developer
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Today we are releasing Ollama Multi-Model Benchmarker, an open-source tool for evaluating local LLMs before committing to a setup. It runs multiple Ollama models sequentially on Google Colab's free T4 GPU and produces a side-by-side comparison of generation speed, responsiveness, model size, and more.

The setup steps and usage of this tool are explained in detail in the technical documentation.