Distilabel
Framework for generating synthetic data and AI feedback through composable LLM pipelines.
About
Distilabel is a framework from Argilla for generating synthetic data and AI feedback using pipelines based on published research methods. It provides a unified API across many LLM providers and supports both cloud and local backends such as llama-cpp, Ollama, and Transformers. The project targets engineers building scalable dataset generation and evaluation workflows.
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Details
- Category
- Model Training & Fine-Tuning
- Price
- Free
- Platform
- Hybrid
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Added
- May 7, 2026
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