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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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Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
Tonic Validate
De-identifying Salesforce data for testing and development. Tonic Structural now connects to Salesforce
Product updates
Product updates
Tonic Structural
How to prevent data leakage in your AI applications with Tonic Textual and Snowpark Container Services
Technical deep dive
Technical deep dive
Tonic Textual
Tonic.ai Achieves HIPAA Compliance Certification, Ensuring Enhanced Security for Protected Health Information
Healthcare
Healthcare
Data privacy
Tonic Structural
Tonic Textual
Tonic Ephemeral
Test data management
Data de-identification
Technical deep dive
Tonic Structural
Product updates
Generative AI
Tonic Validate
Product updates
Generative AI
Tonic Validate
Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
Tonic Validate
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Technical deep dive
Tonic Validate
Technical deep dive
Tonic Ephemeral
Data de-identification
Data privacy
Generative AI
Tonic Textual
Build better and faster with quality test data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.
