www.sluug.org/next

6:30pm BASE Topic: Various Tricks
Presenter: Lee_Lammert Stan_Reichardt and others.
A "Keyboard Karaoke" style session telling us about some useful and neat tools. During live face-to-meetings we would sometimes have volunteers use the terminal attached to our projector. The idea was that volunteers would demonstrate quick, short, simple commands or tools.
We have a short talk planned about VIM's "spell-checker" private-dictionary. Also another using the built-in BASH "fc" command that lists, edits, and executes previous commands from the history lists.
Others may wish to join us, sharing their screens with their own interesting discoveries.
~7:00pm Announcements & general Q&A
~7:15pm MAIN Topic: Local LLMs for Local AI
Presenter: Andrew_Denner
Local for fun and (hopefully saving) profit.
Learn how to get the most out of local LLMs (Large Language Models) with Ollama, uv, and VS Code—fast setups, useful tasks, and a workflow that feels good. From experiments to real savings, we'll explore how to make local AI truly work for you.

Editor's note:
Below is from Ollama vs GPT: Comparing AI Models for Secure Deployment...and other Google searches.

Ollama is a locally deployed AI model runner, designed to allow users to download and execute large language models (LLMs) directly on their personal computer, such as Linux, MacBook, or MS-Win machine.

Ollama sources public datasets like CommonCrawl, C4, and The Pile, making it transparent and auditable for open-source usage. OpenAI's GPT models are trained on a broader set of proprietary and public internet text up to 2021, which may contribute to GPT's versatility but limits visibility into dataset specifics.

Yes, Ollama models are free. Ollama focuses on providing access to open-source large language models (LLMs) that are free to download and use locally on your computer. Ollama and Llama are related but distinct concepts in the realm of large language models (LLMs). Ollama is a platform for running LLMs locally, while Llama is a family of open-source LLMs developed by Meta.

The name Ollama stands for Omni-Layer Learning Language Acquisition Model.

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ONLINE MEETINGS ONLY until further notice.
ONLINE session will use remote video software.
CONNECTION instructions will be on the www.sluug.org web page and our mailing lists. Note that your browser cache may need to be refreshed each time you check the above web page for the instructions. We will open the remote session at about 6:00 PM, so that you can join early to test your microphone, screen and video sharing.

Details will be published on https://www.sluug.org/ when available.