wtf is llm?

The llm project lets you run open-source AI language models directly on your own computer, without needing an internet connection or a cloud service. It provides a command-line tool for everyday users to generate text or chat with AI, as well as a toolkit for developers who want to build AI features into their own software. To get started, you download a pre-trained model file from a site like Hugging Face. These files are "quantized," meaning they are compressed to take up less memory and run faster, which is necessary to run them on a standard computer. You point the tool at that file, type a prompt, and it generates text. You can also use it in an interactive chat mode, similar to chatting with ChatGPT, though you need to use models specifically fine-tuned for conversation to get the best results. This tool is ideal for people who want to experiment with AI locally, like a founder prototyping a private chatbot or a hobbyist building a Discord bot. It is also useful for developers who want to embed AI into their own apps without relying on third-party APIs. Several projects already use it to build desktop applications for local AI hosting or to create complex text-generation workflows. The project is written in Rust, a programming language known for being fast and safe. It is built on top of GGML, a library designed to run machine learning models efficiently on standard processors. Notably, it currently relies on the CPU rather than a graphics card, though there is optional support for hardware acceleration if you configure it correctly. This CPU-first approach is a deliberate tradeoff that makes it easier to run AI on everyday computers, though it may not be as fast as GPU-powered solutions.