🚀 Launching Synthetic Text to Unlock High-Value Proprietary Text Data
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Platform
Synthetic data
Overview
DataLLM
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Synthetic data overview
What is synthetic data and its benefits
Introduction to synthetic data
Data anonymization
Traditional data anonymization vs. synthetic data generation
Frequently Asked Questions
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Platform overview
How it works
See how the MOSTLY AI Platform works
Privacy and security
Learn how MOSTLY AI's Platform provides privacy and security
Features
Generate, synthesize, and create data
Python Client
Control synthetic data generation right out of your Python environment
DataLLM
DataLLM
Create synthetic data if you have no data to begin with or enrich existing datasets
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Synthetic data generation for free forever
The best AI-powered synthetic data generator is available free of charge. Generate high-quality, privacy-safe synthetic versions of your datasets within minutes.
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Use Cases
Data sharing
Proactively share high quality synthetic data in your organization and beyond
AI/ML development
Use synthetic training data to still your AI/ML data hunger
Testing & QA
Synthetic copies of production data for faster and better QA
Self service analytics
Leverage synthetic data and a natural language interface to get to insights
Resources
Podcast
Get insights from industry pioneers
Blog
Read our synthetic data blog
The Synthetic Data Dictionary
Terms and definitions related to synthetic data generation
Videos
Synthetic data videos
Company
About us
All about MOSTLY AI
Handbook
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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
Blog
September 21, 2023
by
Avril Aysha
Optimize your training sample size for synthetic data accuracy
Synthetic data accuracy is in a direct relationship with synthetic data sample size. In this tutorial, we'll show you how to optimize training data for best results.
Blog
September 20, 2023
by
Avril Aysha
Evaluate synthetic data quality using downstream ML
In this tutorial, you will learn how to validate the quality of synthetic data by evaluating its performance on a downstream ML task.
Blog
September 11, 2023
by
Avril Aysha
Data drift: How to tackle it with synthetic data
Data drift is a huge headache for ML developers. Conditional synthetic data generation can help put your model back on track.
Blog
August 8, 2023
by
Avril Aysha
Improve your machine learning life cycle with synthetic data
A step-by-step journey through the machine learning life cycle, from data collection to model explanation and sharing.
Blog
June 6, 2023
by
Avril Aysha
How to benchmark synthetic data generators
Benchmarking synthetic data generators across measures of fidelity and privacy using four different datasets.
Blog
April 25, 2023
by
Avril Aysha
Data anonymization in Python
Data anonymization is the process of removing personally identifiable information from datasets. Find out how to do it right!
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Synthetic Data
What is synthetic data
Data anonymization
Frequently Asked Questions
Platform
Features
Privacy and security
How it works
Python Client
DataLLM
Get started
Use cases
Data sharing
AI/ML Development
Testing & QA
Self service analytics
Company
About us
Handbook
Careers
Contact us
Documentation
Pricing
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