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

Creating realistic, secure test data for Databricks

Technical deep dive
Technical deep dive
Tonic Structural

Spring 2021 product update

Product updates
Product updates
Tonic Structural

How to create realistic test data for PostgreSQL

Technical deep dive
Technical deep dive
Tonic Structural
Tonic Fabricate

Using Docker to manage your test database(s)

Technical deep dive
Technical deep dive
Tonic Structural

Mockaroo and Tonic.ai: Partners in mock data generation

Tonic.ai editorial
Tonic.ai editorial
Tonic Structural

Your data is safe — math guarantees it!

Technical deep dive
Technical deep dive
Tonic Structural

Getting the data you want out of JSON with JSONPath

Technical deep dive
Technical deep dive
Tonic Structural

Database subsetting is not a piece of cake, so we baked Condenser 2.0 just for you

Technical deep dive
Technical deep dive
Tonic Structural

Masquerade: a Postgres proxy to mask data in realtime

Technical deep dive
Technical deep dive
Tonic Structural

How to generate realistic test data with Faker

Technical deep dive
Technical deep dive
Tonic Structural
Tonic Fabricate

Simulating event pipelines for fun and profit (and for testing too)

Technical deep dive
Technical deep dive
Tonic Structural

CCPA will hit your dev team harder than GDPR. Here’s why.

Technical deep dive
Technical deep dive
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