Adjusting the Sequence of Training Data Makes Large Models Smarter! No Need to Expand Model/Data Scale

In this regard, Microsoft Research Asia has proposed a novel paradigm for organizing text data called DELT (Data Efficacy in LM Training). By introducing data sorting strategies, it fully taps into ...

How Changes in Models Trigger Data Quality Transformation? Experts: Data and AI as Dual Engines Driving an Intelligent Future

On September 12, at the 2025 Inclusion Bund Conference’s forum on "Data Meets AI: The Dual Engines of the Intelligent Era," ...
VentureBeat

How MIT is training AI language models in an era of quality data scarcity

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Improving the robustness of machine learning (ML) models for natural ...
Tech Xplore on MSN

How to ensure high-quality synthetic wireless data when real-world data runs dry

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...
Forbes

Why Data Quality, Security And Governance Will Always Drive AI Success

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...
Time

Training Data

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 ...
TechCrunch

AI training data has a price tag that only Big Tech can afford

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, ...