Open-source Fine-tuning Data Platform for LLMs

Build accurate language models with human and AI feedback. The feedback loops you need to fine-tune, validate, and maintain enterprise LLMs.

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docker

docker run -d --name quickstart -p 6900:6900 argilla/argilla-quickstart:latest

Get instant support, share your use cases, and learn from a highly enthusiastic community of NLP practitioners.

Documentation

Start building better NLP training datasets with your favourite libraries

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Testimonials

We have been using Argilla in our research pipelines for quite some time now. It has helped us iterate through our NLP solutions lot more quickly than before because of it"s super intuitive API and user friendly interface. A must have tool.
Ankush Chander
Research Engineer RAx(by Enago)
Effectively including the user into the loop is one of the most difficult aspects of Natural Language Processing. I use Argilla specifically for active learning and it has never been easier to set up an active learning application. Keep up the amazing work!
Christopher Schröder
NLP Researcher InfAI
I've been using Argilla since the v0.2, and it was by far the most suitable and adaptable open source tool for building and improving datasets for our NLP projects. The seamless integration to our existing workflows and pipelines is saving us precious time as we can quickly account for the human feedback in our iterations!
Mahmoud Zyate
Lead Data Scientist Leyton
Argilla has helped us to adopt a data-centric approach in our processes to develop and maintain our NLP and ML solutions. We have gained a lot in terms of transparency and efficiency. In-house annotators, data scientists and engineers love it alike. After some time using it, we can't imagine our lives without Argilla!
José Manuel Martínez
Senior Data Scientist Datamaran

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Join us on our mission towards more robust NLP through better data and more humans-in-the-loop