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 ...

When AI platforms started mushrooming out of nowhere, I wasn’t very fond of using them in my workflows. And well, that sentiment still hasn’t changed now, especially with most software and hardware ...

While many organizations rely on public cloud services for large language models, there are compelling reasons to run these models in-house, within an organization's own data center. Organizations ...

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 ...

Where is your AI app running?When you want to build a chatbot or an internal FAQ system using AI, the standard approach is to ...

I have eight years of experience covering Android, with a focus on apps, features, and platform updates. I love looking at even the minute changes in apps and software updates that most people would ...

I'm not shopping for a new GPU just yet ...

Richard is the PC Hardware Lead at XDA and has been covering the technology industry for almost two decades. He's been building PCs since young, and when not creating content, you can often find him ...

The best part? Everything runs locally!

LLMfit helps identify which local models fit a system's CPU, GPU and memory profile before time is spent downloading and testing them. Ollama provides a practical runtime and chat interface for ...

Given how much energy and water AI data centers use, wouldn't we be better off environmentally storing LLMs locally on our own personal computers?

I was wondering what people are using to run LLMs locally on their Mac? I know of a couple of applications, but none have impressed me. Sidekick - I've found it to be quite buggy, but its early days, ...