The results suggest that training models on less, but higher-quality, data can lower computing costs. The Allen Institute for Artificial Intelligence (Ai2), a research nonprofit, is releasing a family ...

In the quest to create increasingly sophisticated large language models, AI companies are encountering a daunting obstacle: the depletion of accessible internet data. The Wall Street Journal reports ...

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 ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

With impressive benchmark results, the Chinese AI lab's latest open-source release reignites questions about whether expensive models are worth it.

This past Monday, about a dozen engineers and executives at data science and AI company Databricks gathered in conference rooms connected via Zoom to learn if they had succeeded in building a top ...

Data is at the heart of today’s advanced AI systems, but it’s costing more and more — making it out of reach for all but the wealthiest tech companies. Last year, James Betker, a researcher at OpenAI, ...

Artificial intelligence (AI) prophets and newsmongers are forecasting the end of the generative AI hype, with talk of an impending catastrophic “model collapse”. But how realistic are these ...