{"repo":"argilla-io/argilla","free":true,"listed":false,"github":"https://github.com/argilla-io/argilla","clone":"git clone https://github.com/argilla-io/argilla.git","description":"Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets","language":"Python","stars":5081,"topics":["human-in-the-loop","natural-language-processing","mlops","developer-tools","text-labeling","annotation-tool","nlp","machine-learning","active-learning","weak-supervision"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"[!IMPORTANT] The original authors have moved on to exciting new projects! The codebase is mature and stable, having served users reliably for years. While we won't be adding new features going forward, we're committed to solve bug fixes and publish patches as needed. If you're interested in helping maintain or extend this project, we'd love to hear from you! Please open an issue to discuss becoming a maintainer - we're looking for dedicated contributors who can take ownership of the project's future development. Argilla Build high quality datasets for your AI models Argilla is a collaboration tool for AI engineers and domain experts who need to build high-quality datasets for their projects. If you just want to get started, deploy Argilla on Hugging Face Spaces. Curious, and want to know more? Read our documentation. Or, play with the Argilla UI by signing in with your Hugging Face account: Why use Argilla? Argilla can be used for collecting human feedback for a wide variety of AI projects like traditional NLP (text classification, NER, etc.), LLMs (RAG, preference tuning, etc.), or multimodal models (text to image, etc.). Argilla's programmatic approach lets you build workflows for continuous evaluation and model improvement. The goal of Argilla is to ensure your data work pays off by quickly iterating on the right data and models. Improve your AI output quality through data quality Compute is expensive and output quality is important. We help you focus on data, which tackle","default_branch":null,"files":null,"tree":[],"storefront":"/r/argilla-io","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/argilla-io/argilla/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}