On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...
Abstract: Logical reasoning tasks have recently become a research hotspot in machine reading comprehension communities. This task requires models to answer the question by extracting and utilizing the ...
“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...
A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...
The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...
GlobalLogic, a provider of digital engineering services part of the Hitachi group, is notifying over 10,000 current and former employees that their data was stolen in an Oracle E-Business Suite (EBS) ...
Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Tape drives might seem like old news, but according to Spectra Logic Corp., they’re a part of the modern data solution. Now reaching its 25th anniversary, the company focuses on tape-based solutions ...
Many years ago, I contributed material on Database Development and Database Operations Management to the first edition of DAMA International’s “Data Management Body of Knowledge” (the DAMA DMBoK). i ...
On Tuesday, OpenAI announced that o3-pro, a new version of its most capable simulated reasoning model, is now available to ChatGPT Pro and Team users, replacing o1-pro in the model picker. The company ...
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, ...