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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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Data de-identification
Data privacy
Generative AI
Technical deep dive
Tonic Textual
Tonic Validate
We are joining forces with Google Cloud to accelerate AI and software development with privacy-first data solutions on Google Cloud Marketplace
Product updates
Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
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Building a RAG system on Databricks with your unstructured data using Tonic Textual
Technical deep dive
Technical deep dive
Tonic Textual
Product updates
Tonic Textual
Technical deep dive
Tonic Textual
Technical deep dive
Tonic Ephemeral
Test data management
Tonic Ephemeral
Product updates
Tonic Structural
Tonic Textual
Tonic Ephemeral
Build better and faster with quality test data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.
