Ollama supports common operating systems and is typically installed via a desktop installer (Windows/macOS) or a ...

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...

Ollama is one of the easiest ways you can experiment with LLMs for local AI tasks on your own PC. But it does require a dedicated GPU. However, this is where what you use will differ a little from ...

Recently, I have been doing a lot of work related to Ollama, even going so far as building some advanced PowerShell scripts that leverage the Ollama on the backend. When I first got started with my ...

If you would like to run large language models (LLMs) locally perhaps using a single board computer such as the Raspberry Pi 5. You should definitely check out the latest tutorial by Geff Geerling, ...

The choice of GPU in 2026 defines not only speed but also creative freedom and productivity. Many professionals now question ...

TL;DR: AMD has introduced instructions for running DeepSeek's R1 reasoning model on AMD Ryzen AI and Radeon products. This model enhances problem-solving by performing extensive reasoning before ...

Odds are the PC in your office today isn’t ready to run AI large language models (LLMs). Today, most users interact with LLMs via an online, browser-based interface. The more technically inclined ...

ChatGPT’s launch ushered in the age of large language models. In addition to OpenAI’s offerings, other LLMs include Google’s LaMDA family of LLMs (including Bard), the BLOOM project (a collaboration ...

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...

A software developer has proven it is possible to run a modern LLM on old hardware like a 2005 PowerBook G4, albeit nowhere near the speeds expected by consumers. Most artificial intelligence projects ...