I built ClawdeCord ! https://t.co/Hgde8j8fyP
A new paradigm for interacting with Claude !
This allows you to use Discord with your friends and collaborate on projects/ideas much easier and is self hosted !
Just like Claude Tag but for Discord !
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads.
Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
𝐍𝐨 𝐆𝐏𝐔? 𝐍𝐨 𝐩𝐫𝐨𝐛𝐥𝐞𝐦.
We just published a starter guide for developing vLLM + LMCache on a MacBook.
LMCache's multi-platform design decouples the GPU from most core data paths, so a single laptop is enough to clone, build, run unit tests, and verify a real cache hit on CPU. The guide walks through the environment setup in ~10 minutes and points to four concrete areas where you can start contributing.
If not having a GPU was your only blocker, it is not anymore.
Read the guide and join us in building the KV cache layer for faster LLM inference: https://t.co/l22JWaH22F
#LMCache #vLLM #LLM #AIInfrastructure #OpenSource