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Demo: fine-tuning LLMs with Tonic Textual
In this blog post, Tonic.ai’s Head of AI, Ander Steele, walks through a live demo of how Tonic Textual can be used to automatically de-identify protected health information (PHI) within unstructured data—making it safe and compliant for fine-tuning large language models (LLMs).
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Blog posts
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Using custom models in Tonic Textual to redact sensitive values in free-text files
Data de-identification
Data de-identification
Data privacy
Generative AI
Tonic Textual
Product updates
Data de-identification
Generative AI
Data privacy
Tonic Textual
Technical deep dive
Tonic Validate
Unlocking secure data utility: the Tonic.ai and Databricks partnership and integration
Product updates
Product updates
Tonic Structural
Technical deep dive
Tonic Validate
Technical deep dive
Tonic Validate
Data de-identification
Data privacy
Test data management
Tonic Structural
What President Biden’s executive order on safe, secure, and trustworthy artificial intelligence means for companies developing AI
Data privacy
Data privacy
Tonic Textual
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Product updates
Generative AI
Tonic Validate
Build better and faster with quality test data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.
