Vast Data launches confidential computing service for sensitive workloads

Vast Data Inc. today introduced DataEnclave, a confidential computing environment designed to let companies run advanced artificial intelligence models against sensitive data without exposing either ...
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, ...
TechCrunch

Making AI models ‘forget’ undesirable data hurts their performance

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...
VentureBeat

Anthropic releases Model Context Protocol to standardize AI-data integration

One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...
The Conversation

Tech companies are turning to ‘synthetic data’ to train AI models – but there’s a hidden cost

Last week the billionaire and owner of X, Elon Musk, claimed the pool of human-generated data that’s used to train artificial intelligence (AI) models such as ChatGPT has run out. Musk didn’t cite ...
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 ...
techtarget

Model collapse explained: How synthetic training data breaks AI

Garbage in, garbage out. Data pollution is ruining generative AI's future. A recent study by researchers in Canada and the U.K. explained the phenomenon of model collapse. Model collapse occurs when ...