Machine Learning Engineering Open Book
A straightforward method for training your LLM, from downloading data to generating text.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
Join a time-traveling adventure where you meet history’s legends while learning Generative AI technologies! ✨
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents
Your AI intranet: network the computers you already own for inference and training.
GPT-2-style LLM built from scratch in C/CUDA with hand-written backprop, BPE tokenizer, FlashAttention, pretraining, and SFT.
