A primer on synthetic data, which is gaining steam for AI
emergingtechbrew.com · 915 words · saved by 1 readers
By 2024, 60% of all AI training data may be synthetic, according to Gartner.
Animation: Dianna “Mick” McDougall, Photo: Getty Images By Hayden Field April 15, 2022 • 5 min read TOPICS: AI / AI Core Technology / Synthetic Data Like wax museum celebrities or cake versions of household objects, synthetic data can be difficult to distinguish from the real thing. You can think of it as data that reads, looks, or acts like it’s been collected from real people, when in actuality, it’s been created by artificial intelligence. Here’s how it works: Deep-learning algorithms train on real world data, then do what models do best—flag patterns and trends. Then, they use those patter
saved by
related reading
- Synthetic Data Could Be The Key To Unlocking AI — What Is It?forbes.com
- AI 2027ai-2027.com
- Synthetic Pretraining | Vintage Datavintagedata.org
- An AI startup made a hyperrealistic deepfake of me that’s so good it’s scary | MIT Technology Reviewtechnologyreview.com
- How to Generate and Use Synthetic Data for Finetuningeugeneyan.com
- Synthetic data generation (Part 1)cookbook.openai.com
- Machine Learning for Synthetic Data Generation: A Reviewarxiv.org
- Is Synthetic Data the Key to AGI?digitalspirits.substack.com
- BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretrainingdatologyai.com
- Generative AI: A Creative New World | Sequoia Capitalsequoiacap.com
- AI 2027ai-2027.com
- Training Imperativesdan.io