distilabel
Framework for synthetic data generation and AI feedback
distilabel is a Python framework for building scalable synthetic data and AI-feedback pipelines for training and evaluating language models. It supports many LLM providers and can be self-hosted for local dataset generation.
Key features
- Synthetic data pipelines
- AI feedback workflows
- Many LLM integrations
- Caching and scaling
Strengths
- Released under the Apache-2.0 license
- Active community (3.4k GitHub stars)
- Written in Python
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