Expert insights on synthetic data

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Training effective models without the annotation budget

Learn how to bypass costly annotation workflows by using LLM-generated labels and lightweight fine-tuning to build high-quality NER models with minimal human input.

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Blog posts

What is patient data privacy in healthcare? Everything you need to know

Healthcare
Healthcare
Tonic Structural

How to integrate Tonic.ai into your CI/CD pipeline with Jenkins

Technical deep dive
Technical deep dive
Tonic Structural

How to mask data for testing in MongoDB

Technical deep dive
Technical deep dive
Tonic Structural

We raised a $35M Series B. Here's what's next for fake data.

Tonic.ai editorial
Tonic.ai editorial
No items found.

Dockerize Mongo to get consistent data across your development environments

Technical deep dive
Technical deep dive
Tonic Structural

How to create realistic, safe, document-based test data for MongoDB

Technical deep dive
Technical deep dive
Tonic Structural

Generating high quality test data for MySQL through de-identification and synthesis

Data de-identification
Data de-identification
Test data management
Tonic Structural

Why I joined Tonic.ai: A business grad's perspective amid the pandemic

Tonic.ai editorial
Tonic.ai editorial
No items found.

June ‘21 product update: support for all the databases

Product updates
Product updates
Tonic Structural

Data anonymization techniques defined: transforming real data into realistic test data

Technical deep dive
Technical deep dive
Tonic Structural

How to generate safe, useful test data for Amazon Redshift

Technical deep dive
Technical deep dive
Tonic Structural

Why I joined Tonic.ai: A software engineer's perspective

Tonic.ai editorial
Tonic.ai editorial
Tonic Structural

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