Anthropic released a 'safe' version of Claude Mythos — and changed its data retention policy for the model, too.

It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.

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, ...

Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Investopedia / Zoe Hansen Overfitting occurs when a model is too closely ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Identify which data modeling tools are right for your business. Discover the top tools of 2022 now. Data modeling tools play an important role in business, representing how data flows through an ...

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 In a significant shift toward local-first privacy infrastructure, OpenAI has released Privacy Filter, a ...