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The Synthetic Data Blog

If you want to learn about the latest developments in the synthetic data space, you are in the right place. The synthetic data blog covers the latest developments, research results and business best practices.

January 23, 2025

Alexandra Ebert

Unlocking AI Training Data for All: MOSTLY AI Releases World’s First Industry-Grade Open-Source Toolkit for Synthetic Data

Today we launch the first industry-grade open-source synthetic data toolkit (SDK), enabling any organization to easily generate high-quality, privacy-safe synthetic datasets from sensitive proprietary data, all within their own compute infrastructure. By eliminating data-sharing hurdles, this open-source release clears the path for the next wave of AI innovation, fueled by previously inaccessible data. Synthetic Data […]

Unlocking AI Training Data for All: MOSTLY AI Releases World’s First Industry-Grade Open-Source Toolkit for Synthetic Data

January 23, 2025

Alexandra Ebert

Today we launch the first industry-grade open-source synthetic data toolkit (SDK), enabling any organization to easily generate high-quality, privacy-safe synthetic datasets from sensitive proprietary data, all within their own compute infrastructure. By eliminating data-sharing hurdles, this open-source release clears the path for the next wave of AI innovation, fueled by previously inaccessible data. Synthetic Data […]

Unlock data democratization and accelerate model development on Amazon SageMaker with privacy preserving Synthetic Data

December 18, 2024

Data fuels Machine Learning (ML), but privacy constraints often delay access to sensitive real world (original) datasets for weeks or months. MOSTLY AI bridges this gap by providing privacy-safe synthetic data in minutes, enabling ML developers to build and test models in development environments without accessing the sensitive data. This article describes how to use […]

Differentially Private Synthetic Data with MOSTLY AI

November 18, 2024

Michael Platzer

MOSTLY AI now offers users the choice to train synthetic data generators with or without differential privacy (DP) guarantees! By toggling DP on in the model configuration, training becomes differentially private, and the platform tracks the privacy budget (Epsilon) throughout. Users can also set an upper Epsilon limit, stopping training automatically when the budget is […]

Accelerating Data Innovation with MOSTLY AI’s GenAI Synthetic Data Platform and Databricks

October 4, 2024

Introduction In today’s data-driven world, the ability to leverage high-quality, privacy-safe data is paramount. The MOSTLY AI Platform provides a suite of advanced data capabilities, including synthetic data generation and generating AI-driven insights. To streamline the integration of these capabilities within Databricks, we’ve developed a comprehensive Solution Accelerator. This blog post outlines the goals and […]

Introducing Synthetic Text to Overcome AI Training Plateau and Unlock High-Value Proprietary Text Data

October 1, 2024

TL;DR The MOSTLY AI Platform now supports the creation of synthetic text leveraging pretrained language models. You can choose from various LLMs on Hugging Face and conveniently fine-tune them with your proprietary text data. Directly on the MOSTLY AI Platform and in the context of structured data. Realizing privacy-preserving GenAI use cases has never been […]

Benchmarking Synthetic Text Generation: MOSTLY AI vs. GPT-4o-mini in Wine Review Prediction

October 1, 2024

In this blog post, we present the results of a benchmark study comparing the performance of regression models trained on synthetic and original data. Our aim is to evaluate how well models trained on synthetic text, generated using the MOSTLY AI platform, perform compared to models trained on original data, as well as synthetic data […]

Creating privacy-preserving synthetic text in Databricks to safely fine-tune your custom LLM

October 1, 2024

TL;DR: Databricks research shows that 90% of businesses are holding back on GenAI due to concerns over accuracy, safety, and governance. MOSTLY AI helps you overcome these challenges by using privacy-preserving synthetic text to safely fine-tune your custom LLMs. Introduction Fine-tuning a model is the process of adapting a pre-trained LLM to instill specific knowledge […]

Using MOSTLY AI Generators as Universal Prediction Models

In order to generate high quality synthetic data, the MOSTLY AI Platform uses advanced deep learning models. Our models learn everything there is to know about your data! This begs the question: can the models also infer values for unseen data? The answer is: yes. In this short blog post we'll introduce how MOSTLY AI […]

Introducing Fair Synthetic Data on the MOSTLY AI Platform

Mario Scriminaci

TL;DR Understanding data diversity and fairness in AI is crucial for developing responsible models. This blog post explores the impact of biased data and the benefits of using diverse datasets. Biased data can lead to discriminatory outcomes in decisions like mortgage approvals or job applications. Traditional techniques to mitigate bias include diverse data collection, data […]

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