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

What if you could harness the power of innovative AI without relying on cloud services or paying hefty subscription fees? Imagine running a large language model (LLM) directly on your own computer, no ...

The Transformers library by Hugging Face provides a flexible and powerful framework for running large language models both locally and in production environments. In this guide, you’ll learn how to ...

If you like the premise of AI doing, well something, in your rig, but don't much fancy feeding your information back to a data set for future use, a local LLM is likely the answer to your prayers.

Maybe it was finally time for me to try a self-hosted local LLM and make use of my absolutely overkill PC, which I'm bound to ...

Many users are concerned about what happens to their data when using cloud-based AI chatbots like ChatGPT, Gemini, or Deepseek. While some subscriptions claim to prevent the provider from using ...

If you’re interested in using AI to develop embedded systems, you’ve probably had pushback from management. You’ve heard statements like: While these are legitimate concerns, you don’t have to use ...

I was one of the first people to jump on the ChatGPT bandwagon. The convenience of having an all-knowing research assistant available at the tap of a button has its appeal, and for a long time, I didn ...

Few things have developed as fast as artificial intelligence has in recent years. With AI chatbots like ChatGPT or Gemini gaining new features and better capabilities every so often, it's ...