Expert insights on synthetic data
The lastest
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).
.svg){kind=icon}
Blog posts
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Technical deep dive
Tonic Textual
Technical deep dive
Tonic Ephemeral
Technical deep dive
Tonic Ephemeral
Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
Test data management
Data de-identification
Tonic Structural
Product updates
Tonic Textual
Test data management
Tonic Ephemeral
Achieving test data management totality: the difference between total coverage and "close enough"
Test data management
Test data management
Data de-identification
Tonic.ai editorial
Tonic Structural
Tonic Ephemeral
Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
Tonic Validate
Data privacy
Tonic Textual
Build better and faster with quality test data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.
