Category: Large Language Models

The first robot which I used to search for land mines / metal in the ground was build 2015 by myself in my workshop. In 2023 I started with the training of neural nets to detect anti-personal land mines like the PFM-1. Then I paused the project and restarted it in April 2024 after beeing… Read more: Real-Time Landmine Detection: Robotic Integration of FLIR Camera Module, RGB Camera, and YOLO Neural Network

After I had already installed Ollama as a server and had written one or two Python programs that used the API interface and the underlying language models, Open-WebUi for Ollama aroused my interest. That’s how this article was created, which describes how you could install and use Open-WebUi. In the lower part, after setting up… Read more: Open-WebUi – Ollama

In terms of technical requirements and architecture, this solution is not very complex and is therefore ideal for getting started with large language models. It is also guaranteed to give you an initial sense of achievement very quickly. All the components used can be easily installed and combined with each other. I have followed the… Read more: RAG Chat-Applikation – Langchain + Ollama + Streamlit

This short guide is made up of several articles and takes you step by step from the installation to the finished application. First of all, the instructions are structured so that Ollama is installed. Ollama is used as a server that provides the various language models. The big advantage of Ollama (https://github.com/ollama/ollama) is that it… Read more: Ollama Ubuntu installation and configuration

I wrote this post because I always install my programs and associated packages such as drivers in a virtual Anaconda environment and it is therefore important that you understand how Anaconda is set up under Ubuntu. The big advantage that comes with this is that you can simply delete the Anaconda environments with your installation… Read more: Installation of Anaconda on Ubuntu LTS version