All you need is 24GB of RAM, and unless you have a GPU with its own VRAM quite a lot of patience Hands On Earlier this week, OpenAI released two popular open-weight models, both named gpt-oss. Because ...

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 ...

Local LLMs aren't very good on their own ...

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 ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box. Dedicated desktop applications for agentic AI make it easier for relatively ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

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 ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

What if you could harness the power of innovative artificial intelligence without relying on the cloud? Imagine running a large language model (LLM) locally on your own hardware, delivering ...

Want AI on your phone without cloud limits? Models like Llama 3.2, Qwen3, Gemma 3, and SmolLM2 run locally for private chats, coding, reasoning, and image tasks. Llama 3.2 is the best all-rounder, ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. How to run an LLM on your laptop In the early days of large ...

LLMs and RAG make it possible to build context-aware AI workflows even on small local systems. Running AI locally on a Raspberry Pi can improve privacy, offline access, and cost control. Performance, ...