Tonic.ai Tutorials: Model-based custom entity types in Tonic Textual

This tutorial provides an overview of model-based custom entity types and their setup process in Tonic Textual. Tonic Textual enables teams to put their unstructured data to use in AI development while safeguarding against sensitive data leaks and ensuring regulatory compliance. Textual extracts free-text data from wherever it’s stored, detects sensitive information using proprietary NER models, and redacts or synthesizes that information to generate compliant unstructured datasets, ready for use in production or for sharing outside of your organization. Thanks to Textual’s secure data de-identification, you can confidently use your free-text data in AI development, from internal RAG systems and model training to external partnerships. To learn more, check out our other videos, our blog, or the Tonic Textual product docs: https://docs.tonic.ai/textual. To connect with a member of our team, reach out to us at [email protected] or https://www.tonic.ai/book-a-demo. -- https://www.tonic.ai https://www.linkedin.com/company/tonicfakedata