Simulated Truths: How Synthetic Data Is Rewriting Institutional Perception

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
Forbes

How Better Data Annotation Improves AI Model Performance

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
The Economist

Training AI models might not need enormous data centres

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...
Wired

A New Kind of AI Model Lets Data Owners Take Control

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.