Local AI and Confluence

Introduction This post is part of a series on locally using AI models. Previous posts are Running AI locally Generating images with LocalAI using a GPU Introduction to AI training with openSUSE Adding own Documents to your Local AI Using RAG In the last post I explained how to use RAG to add your own […]

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Adding own Documents to your Local AI Using RAG

Introduction This is part 4 of a series on running AI locally on an openSUSE system. Previous parts can be found here: Running AI locally Generating images with LocalAI using a GPU Introduction to AI training with openSUSE Since we have LocalAI running, generated images, text and even trained own LoRAs, another big topic is […]

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Introduction to AI training with openSUSE

Introduction In my last posts I explained on how to run AI models on a openSUSE system using LocalAI. Now I’d like to introduce you to training AI with a small guide on creating a Low Ranking Adaption, also known as LoRA, and using it with LocalAI on your system. This way, you can leverage […]

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Generating images with LocalAI using a GPU

  Introduction In my last blog post on using code generating LLMs on OpenSUSE, I explained on how to run models on your local machine without utilizing a GPU card. In this post I want to show on how to setup your system in order to make use of an available GPU for running a […]

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Generating images with LocalAI using a GPU

  Introduction In my last blog post on using code generating LLMs on OpenSUSE, I explained on how to run models on your local machine without utilizing a GPU card. In this post I want to show on how to setup your system in order to make use of an available GPU for running a […]

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Running AI locally

There is no doubt that using AI Large Language Models(LLM) is getting popular for private use as well as even in the restrictive corporate world. And while private users face the challenge of personal privacy while using online offers, in company environments one faces the challenge of keeping data confidential, and consequently using “ready to […]

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