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

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Avril Aysha

Avril Aysha is a Developer Advocate, helping devs crunch data and leverage synthetic data at scale. You can find her on Linkedin: https://www.linkedin.com/in/avrilaysha/

Blogposts written by Avril

Data anonymization with Python

Pseudonymization vs Anonymization: ensure GDPR compliance and maximize data utility

The General Data Protection Regulation (GDPR) puts strict policies in place for dealing with personal data, or Personally Identifiable Information (PII). It can be intimidating to make sure you follow the right rules that apply to your dataset so you don’t run into expensive fines. Fortunately, the GDPR also provides exceptions to these demanding rules […]

December 13, 2023

Data bias types

Data bias in LLM and generative AI applications

What is data bias? Data bias is the systematic error introduced into data workflows and machine learning (ML) models due to inaccurate, missing, or incorrect data points which fail to accurately represent the population. Data bias in AI systems can lead to poor decision-making, costly compliance issues as well as drastic societal consequences. Amazon’s gender-biased […]

November 22, 2023

Quality assurance for synthetic data tutorial

Synthetic data quality assurance with MOSTLY AI

This quality assurance for synthetic data tutorial gives you the tools to examine the quality of your synthetic data both for privacy and accuracy.

November 16, 2023

Smart data imputation for missing data

Tackle missing data with smart data imputation

In this tutorial, you will learn how to tackle the problem of missing data in an efficient and statistically representative way using smart, synthetic data imputation. You will use MOSTLY AI’s Smart Imputation feature to uncover the original distribution for a dataset with a significant percentage of missing values. This skill will give you the […]

November 7, 2023

ML classifier for fake vs real data records

Build a “fake vs real” ML classifier

Can ML classifiers distinguish between real and synthetic data records? In this tutorial, we'll find out!

October 31, 2023

Synthetic text data by Richard Pelgrim

Generate synthetic text data

Synthetic text data generation is easy if you now how to do it on MOSTLY AI's synthetic data platform. Check out this tutorial for a walkthrough!

October 11, 2023

Explainable AI with synthetic data

Explainable AI with synthetic data

Explainable AI needs synthetic data to explore and validate machine learning models trained on real data.

October 10, 2023

Conditional data generation

Perform conditional data generation

Conditional synthetic data generation is a useful data simulation tool. It's also what you need when tackling data drift or wanting to retain certain columns.

September 25, 2023

Rebalancing with synthetic data

Rebalancing your data for ML classification problems

Rebalancing your data via the synthetic data generation process offers a simple, yet effective way to improve your machine learning models.

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