We ran an experiment using Morris et. al’s Vec2Text model, to demonstrate the privacy risk of text embeddings with sensitive data. As we’ll show, a large percentage of sensitive data can be recovered ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.