Ecosystem & Stack: ray

An easy-to-use, scalable, and high-performance open-source framework for Reinforcement Learning from Human Feedback (RLHF) based on Ray and vLLM.

Ludwig is a low-code, declarative deep learning framework designed to simplify the building, training, and deployment of custom AI models, including LLMs and neural networks.

A Python library for generating and curating high-quality synthetic data for AI model training and structured data extraction.

An efficient and user-friendly library for scaling Reinforcement Learning with Large Language Models on large-scale GPU resources.

A high-performance data engine for AI and multimodal workloads, processing diverse data types at scale with Python and Rust.