I am installing Debian 13 Trixie (recently released as Debian Stable) on a Virtual machine (VM) using the B-TRee File System (BTRFS). The Debian installer supports installing a BTRFS volume to a partition, and creating a single sub volume within. With the terminal I will be modifying a BTRFS volume that spans multiple drives, and contains multiple sub volumes.
A portion of this work will need to be done outside the Debian installer. The most common methods involve either mid install break out or post install. I have not found any information on pre install procedures for this. Looking at the way the Debian installer works this may not be possible.
In this article I will be doing a post install file system modification. To me this seems the most straight forward and easy to understand method.
What is Alternating Current, and why do we need it?
Lets discuss some of the fundamentals of Alternating Current or AC. Historically Electrical usage was originally all Direct Current or DC. In fact most of our devices still use DC internally. However AC is much more efficient than DC for transmitting power over great distances. This is why we get AC delivered to an outlet and our device converts it to DC.
DC, in general is much easier, and less complex to use than AC, as alternating the flow of current can change the characteristics of even simple circuits. I want to look at some of the basic fundamentals of AC as they apply to a simple electric circuits.
Are you having frame rate issues in video games? Battery life tanking fast? These could be caused by having multiple graphics cards, and using the wrong one.
Today many laptops and desktops have two graphics cards. An integrated one for normal light usage, and a discrete one for more robust power usage, like gaming.
Selecting the right graphics card for each situation will improve both frame rate and battery life..
Today I am going to identify and control multiple graphics cards with Linux, as simply as possible. A valuable skill for your Linux tool box
I would be remiss if I did not point out that this process can be dependent to some extent on Linux Distribution, desktop environment, and hardware
In this video I am using a MSI laptop running Fedora Linux with a KDE Plasma desktop. Your millage with this process might vary if your setup is significantly different from mine.
I want to take a look at a very basic Ollama Artificial Intelligence (AI) model and track the information flow from query to results. For those who are new to AI, Ollama is a Application Program Interface (API) for Large Language modes (LLM). The combination of API and LLM make up a basic AI. And I want to examine how data flows in this process.
The basic components of the model include the User, some type of interface between the User and the Ollama, The Ollama API itself, and a LLM. It should be noted that there are many different LLM models. As this model does not call out a specific LLM, the limiting factor will be if the LLM will run on the hardware being used. The larger the LLM model, the more precise the response, however more resources, in the form of processor cores and RAM, will be required to run it.
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