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NanoEuler: GPT-2 Scale Model in Pure C/CUDA
NanoEuler: Efficient GPT 2 Model Implementation in C/CUDA NanoEuler is an innovative implementation of the GPT 2 model, designed to leverage the power of C and …
FlashQwen: New CUDA Inference Engine for Qwen3
FlashQwen: Revolutionizing CUDA Inference with Qwen3 In the ever evolving field of machine learning, the efficiency of inference engines plays a pivotal role. I…
Train Your LLM from Scratch: A Step-by-Step Guide
A straightforward method for training your LLM, from downloading data to generating text.
TRiP: Open-Source Transformer Engine in C from Scratch
TRiP: An Innovative Open Source Transformer Engine in C TRiP, or Transformer in Python (TRIP), stands out as a sophisticated open source engine meticulously cra…
Open Source AI Setup Repo Hits 800 Stars on GitHub
Yo real talk we did not expect this kind of love when we open sourced our AI setup repo but here we are sitting at 800 stars and 100 forks and we are genuinely hyped about it. The repo is a collection of AI agent setups configs and workflows that you can plug straight into your projects. No gatekeeping just pure community goodness. We built this because setting up AI agents from scratch every single time is a massive time sink. So we said forget it lets just share everything openly and let the community build on top of it. Repo is right here: [https://github.com/caliber-ai-org/ai-setup](https://github.com/caliber-ai-org/ai-setup) Now we want YOUR input. What setups are you missing? What features would make this a no brainer for your workflow? Drop your ideas below because we are building in public and your feedback actually ships. LGM 🚀