@econoar There are open source LLM models out there that people can host locally. I’m working on a solution to make it super simple with great UX.
Get ready to upgrade your GPU, lads
One thing I want to build is a software that runs models efficiently and beautifully on your machine. LM Studio uses Llama.cpp, but I think I can do a much better job on the UX but with vLLM.
vLLM is backed by a16z, Sequoia, etc. It’s faster but supports fewer models atm. I am looking very closely at this, and I think its local server style runtime will become more popular.
Meanwhile, vLLM can only be run as a localhost server that a Swift app can talk to (through APIs), which is similar to how you run nvidia’s TensorRT-LLM.
Right now, Llama.cpp is more mature and easier to work with. For example, on Mac, it can be compiled directly into a Swift app with a bridge header, because it’s written in C++.
I asked OpenAI's 4o to generate my March Madness bracket this year. Which model would actually have the best result on predicting? My bet is on o1 pro w/ Deep Research for obvious reasons...
Introducing prompt-kit
A set of high-quality, customizable components for building AI interfaces.
Built on top of shadcn/ui, starting with PromptInput, a flexible input field for chatting with AI models.
New components coming soon!
the world is filled with simple ideas. the simpler the idea, the harder to get to perfection.
say, building the best espresso machine: extremely simple concept, very hard implementation to perfection.
this is the right hill to die on.