Red-Hat-AI-Innovation-Team/sdg_hub — Synthetic Data Generation Toolkit for LLMs

Description and use

The **sdg_hub** project from the Red‑Hat AI Innovation Team is an open‑source toolkit for generating synthetic data tailored to large language models. It provides a collection of utilities and pipelines that automate the creation, augmentation, and validation of high‑quality synthetic datasets, helping developers train, fine‑tune, and evaluate LLMs while reducing reliance on costly real‑world data. The toolkit is designed for flexibility across AI/ML workflows and integrates easily with existing data pipelines.

Problem

Red-Hat-AI-Innovation-Team/sdg_hub helps add AI capability without starting from a blank model stack.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Synthetic Data Generation Toolkit for LLMs

Source