GH Repository · argilla-io
argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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langchainPythonrlhfgpt-4aihuman-in-the-loopactive-learningnatural-language-processingnlpmlopsdeveloper-toolsweak-supervisionagent-frameworkannotation-tooltext-labelingmachine-learningtext-annotationweakly-supervised-learningllm
Argilla is a Python-based collaboration tool for AI engineers and domain experts to build high-quality datasets. It focuses on human-in-the-loop text annotation and labeling for NLP and LLM workflows.
Use it when you need domain experts and engineers to work together on dataset quality rather than annotating alone.
Use it to
- Annotate and label NLP text datasets
- Run human-in-the-loop review for RLHF data
- Apply weak supervision and active learning to labeling
- Build training datasets for LLM fine-tuning
- Integrate labeling into MLOps pipelines
For AI engineers and domain experts building labeled datasets
- Role
- agent-framework
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 505
- Open issues
- 5
- Last push
- 2026-09-14
- Latest release
- v0.1.0-beta.1 · 2021-04-30
topicsannotationhuman-in-the-loopnlpllmrlhfmlops