Synthetics

This section covers the model training and generation APIs shared across all Gretel models.

Synthetic Models

Gretel offers the following synthetics models:

1. Tabular Fine-Tuning - Gretel’s flagship LLM-based model for generating privacy-preserving, real-world quality synthetic data across numeric, categorical, text, JSON, and event-based tabular data with up to ~50 columns.

   1. Data types: Numeric, categorical, text, JSON, event-based

   2. Differential privacy: Optional

2. Text Fine-Tuning - Gretel’s model for generating privacy-preserving synthetic text using your choice of top performing open-source models.

   1. Data types: Text

   2. Differential privacy: Optional

3. Tabular GAN - Gretel’s model for quickly generating synthetic numeric and categorical data for high-dimensional datasets (>50 columns) while preserving relationships between numeric and categorical columns.

   1. Data types: Numeric, categorical

   2. Differential privacy: NOT supported

4. Tabular DP - Gretel’s model for generating differentially-private data with very low epsilon values (maximum privacy). It is best for basic analytics use cases (e.g. pairwise modeling), and runs on CPU. If your use case is training an ML model to learn deep insights in the data, Tabular Fine-Tuning is your best option.

   1. Data types: Numeric, categorical

   2. Differential privacy: Required; you cannot run without differential privacy

Supported Features

This section compares features of different generative data models supported by Gretel APIs.

✅ = Supported

✖️ = Not yet supported

	Tabular Fine-Tuning	Text Fine-Tuning	Tabular GAN
Tag	tabular_ft	text_ft	tabular_gan
Type	Language Model	Language Model	Generative Adversarial Network
Model	Pre-trained Transformer	Pre-trained Transformer	GAN
Privacy filters	✖️	✖️	✅
Privacy metrics	✅	✖️	✅
Differential privacy	✖️	✅	✖️
Synthetic quality report	✅	✅	✅
Tabular	✅	✖️	✅
Time-series	✅	✖️	✖️
Natural language	✅	✅	✖️
Conditional generation	✖️	✅	✅
Pre-trained	✅	✅	✖️
Gretel cloud	✅	✅	✅
Hybrid cloud	✅	✅	✅
Requires GPU	✅	✅	✅