In what appears to be a first for the 90s icon, Clippy has finally been made useful, ish, in the form of a small application that allows users to chat with a variety of AI models running locally ...

Another benefit is that you can use your local LLM even if the internet is down. As long as you can still connect to your Raspberry Pi within your home, you can use your LLM.

A local LLM solves that issue by guaranteeing that your data stays only on your machine. Additionally, a local LLM isn’t held to the same censorship standards as the web version.

Local LLM interfaces like GPT4ALL allow the user to run the model without sending their prompts and replies through a company's portals, ...

Fortunately, local LLM tools can eliminate these costs and allow users to run models on their hardware. The tools also process data offline so that no external servers can access your information.

Download the LLM model and configure it for local inference using APIs like Hugging Face Transformers. Optimize memory usage by adjusting model precision (e.g., FP16) ...

We are seeing a great deal of improvement in the open-source models and the infrastructure providers who are making it easier ...

Cost efficiency is another major advantage of local LLM deployment. While there may be initial hardware investments, running models locally can be more economical in the long run compared to ...

If the user wants to switch to a cloud-based or local LLM for AI, then configuration could be necessary. Unfortunately, the out-of-the-box experience isn't quite that effortless.

Lenovo's AI Monitor Concept Could Bring a Local LLM to Your Non-AI PC. At MWC 2025, Lenovo also teases a glasses-free 3D monitor concept that simultaneously displays 2D and 3D content.