🚀 Launching Synthetic Text to Unlock High-Value Proprietary Text Data

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Learn how MOSTLY AI is utilizing synthetic data and privacy tech to change how modern businesses approach their data.

October 17, 2023

AI-generated Synthetic Data vs. Mock Data

Have you ever wondered what the difference is between synthetic data and mock data? In this video, we'll provide you with an objective analysis of the quantitative differences between these two data generation methods. This knowledge can empower you to make informed decisions when working with diverse data types in your data science and analytics […]

October 16, 2023

Synthetic Text Generation Tutorial

Welcome to this comprehensive tutorial on synthetic text generation using MOSTLY AI's synthetic data generation platform. In this tutorial, we'll guide you through the process of creating high-quality synthetic text data and ensuring its statistical representativeness. Here is what we cover: 1. Introduction to Synthetic Text Generation (0:00) 2. The Power of Synthetic Text Data […]

October 12, 2023

Synthetic Data Quality Evaluation Tutorial: Train-Synthetic-Test-Real Using AutoML on Databricks

This tutorial demonstrates the Train-Synthetic-Test-Real (TSTR) evaluation method to assess the quality of synthetic data. This approach ensures that Machine Learning models trained on synthetic data perform effectively, providing a reliable measure of the data’s utility for downstream ML tasks. Here is what you'll learn: [00:00 – 00:06] What is the TSTR Evaluation Method [00:06 […]

October 12, 2023

Fake or real? How to use a data discriminator for evaluating synthetic data quality

Dive deep into this tutorial on how to construct a machine learning model that effectively differentiates between fake and real data records. Whether you're trying to assess the quality of synthetic data or discern hybrid datasets, this guide will prove invaluable. Here is what you'll learn: 00:00-00:02 - Fake vs Real Data Discriminator 00:05-00:20 - […]

September 21, 2023

Explainable AI with Synthetic Data Tutorial

📚 In this tutorial, we'll show you how to make AI more explainable using synthetic data. Synthetic data helps you to alleviate privacy concerns and make your machine learning models more transparent and accountable. Chapters: 00:00:00 | Introduction 00:00:06 | Overview of Explainable AI with Synthetic Data 00:00:36 | Training the Model on Real Data […]

September 21, 2023

Conditional synthetic data generation tutorial

👋 Welcome to this comprehensive tutorial on Conditional Synthetic Data Generation! In this tutorial, you'll learn how to exercise more control over the synthetic data you generate. By the end, you'll understand how to apply conditional generation in two different scenarios: equalizing gender income distribution in the UCI Adult Income dataset and maintaining the geographic […]

September 19, 2023

AI Act: A Deep Dive into the Future of AI regulation - The Risk-based Approach

Exploring the EU AI Act and the so-called risk-based approach the draft legislation is proposing. Join us in this episode as we delve deep into the draft EU AI Act, dissecting risk categories, their implications, and the critical aspects every AI developer and user should be aware of. 📜 Here is what you can learn […]

September 19, 2023

AI Act: A Deep Dive into the Future of AI regulation - Generative AI

🎥 The EU AI Act and Generative AI: The Deep Dive Continues! Welcome back to the MOSTLY AI series where Alexander Zojer, MOSTLY AI's Legal Counsel unpacks the EU's AI regulation as it unfolds. In this episode, we’re delving into the definitions of generative AI and its legal implications within the draft EU AI Act. […]

September 14, 2023

Synthetic Data Tutorial - Synthetic Rebalancing vs. SMOTE vs. Naive Upsampling

Welcome to our comprehensive tutorial on synthetic rebalancing! Imbalanced datasets can be a major hurdle in machine learning, but fear not, because we're here to guide you through the process of tackling them effectively. In this video, we explore three rebalancing methods, naive upsampling, SMOTE, and synthetic data generation, to demonstrate their impact on model […]

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