One day, frontier AI research used to be done by meat computers in between eating, sleeping, having other fun, and synchronizing once in a while using sound wave interconnect in the ritual of "group meeting". That era is long gone.
预览地址为 ，简体中文位于根目录，英文与繁體中文分别位于 en/ 和 zh-tw/。生成文件位于 build/，详细说明见网站构建与发布。
nanochat is the simplest experimental harness for training LLMs. It is designed to run on a single GPU node, the code is minimal/hackable, and it covers all major LLM stages including tokenization, pretraining, finetuning, evaluation, and inference.
Reef is the first open-source infrastructure for continual self-improving agents. It connects agent inference, feedback, learning, and versioned delivery. Use it to train model weights with Slime and SGLang, or improve an agent's harness, including its prompts, rules, and skills.
WARNING] > Gitleaks is feature complete. I'm not merging new features into Gitleaks. Future releases will be security patches only.
3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses!
Fine-tuning large pretrained models is often prohibitively costly due to their scale.
This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
> ⚠️ Deprecation Notice: This repo is no longer actively maintained. For running RL experiments, please directly use the latest veRL library. md.
LittleBit compresses large language models into the sub-1-bit regime by factorizing each dense weight matrix into low-rank latent factors, binarizing those factors, and restoring magnitude information through lightweight learned scales.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Scalable RL in real-world settings — Agentic RL for terminal, GUI, SWE, and tool-call settings.
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Low-code framework for building custom LLMs, neural networks, and other AI models
Like the manacá-da-serra, whose flowers change colour at each stage of maturation, Manacá is intelligence that learns, evolves, and blooms, in Brazilian Portuguese.
A complete, public recipe for RL-training knowledge-work agents on Mercor's APEX-Agents data, built on open-source SkyRL + open-source harbor — import-only, zero forks. Companion code for the "Training Frontier Knowledge Work Agents" blogpost.