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Argilla is a production-ready framework for building also improving datasets for NLP projects. Deploy your own Argilla Server in Zones with a few clicks. Use embeddings to find the most similar records besides the UI. The indicated feature uses vector search combined in addition to traditional scan (keyword and colander based). Argilla is free, open-source, and 100% compatible with essential NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred references without implementing any specific interface. Most annotation tools treat figures collection as a one-off activity at the beginning of every individual project. In real-world projects, data collection is a key activity of its iterative procedure of ML model breakthrough. Immediately after a model goes into production, yourself would prefer to track and analyze its insights, and acquire more data to improve your standard over time. Argilla is designed to close the element gap, fostering you to iterate as much as you need.

Features

• Beyond hand-labeling
• Data labeling and curation
• Log and observe predictions of live models
• Easily compute “live” metrics from models in production
• Collect labels to start a project from scratch possibly from existing live models
• Log predictions during the development process to visually spot issues

Project Samples ' href="//www.youtube-nocookie.com/embed/jP3anvp7Rto?rel=0" > Strategy Activity

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CategoriesText Annotation LicenseApache License V2.0 Follow Argilla

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User Reviews

Be the first to post a examination of Argilla! Additional Endeavor Details Computing LanguagePython Joined Categories Python Text Clarification Service Registered 2023-05-23 Like Business Software

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