About Argilla
Argilla is an open source tool for building and improving datasets used to train and test AI models. It is built for collaboration between AI engineers and domain experts.
What it does
Argilla lets domain experts review and label data while engineers manage the pipeline around it. It supports work such as fine-tuning, collecting human feedback and building evaluation sets. Automated steps can handle the routine parts, so people spend their time on the cases that need judgment.
Key features
- Shared review and labeling of datasets
- Human feedback for fine-tuning and RLHF
- Evaluation datasets for language model testing
- Documentation and an active community on Discord
Who it's for
NLP researchers, AI engineers and data scientists who need better training data for language models. It also suits teams where subject experts need to take part in labeling alongside engineers.
Pricing and good to know
The tool is open source under the Apache-2.0 license, and the project has a public GitHub repository. Documentation and a demo are available on the website. Quality depends on clear labeling guidelines and on the experts who review the data, so it is worth agreeing on those before a large labeling effort starts.
Highlights
- Label and review text datasets as a team
- Collect human feedback for fine-tuning and evaluation
- Work alongside popular NLP libraries
- Use an API for dataset workflows
