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

Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...

The new framework from Tongyi Lab enables agents to create their own training data by exploring and interacting with new ...

Organizations risk being held back not by their compute power but by access to the data needed to fuel it. When input/output ...

Chinese companies typically sign a lease agreement to use overseas data centres owned and operated by non-Chinese entities, ...

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, ...

Massive training datasets are the gateway to powerful AI models — but often, also those models’ downfall. Biases emerge from prejudicial patterns concealed in large datasets, like pictures of mostly ...

This article is published by AllBusiness.com, a partner of TIME. Training data refers to the dataset used to teach machine learning (ML) and artificial intelligence (AI) models. It provides the ...

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...