distilabel

distilabel is a framework for synthetic data generation and AI feedback intended for engineers. It provides fast, reliable, and scalable pipelines based on verified research papers, supporting data synthesis for AI systems and on-the-fly feedback addition. The framework aims to improve AI output quality via enhanced data quality, give users control over their data and models, and boost efficiency through rapid iteration on research and large language models.

GitHub repo Directory import
0 shouts Added Sep 23, 2026 github.com
github.com/argilla-io/distilabel
distilabel website preview

Links

Tags