Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...

In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: ...

We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...

Google engineers hit the slopes with Team USA's skiers and snowboarders to build a custom AI training tool.

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

TogetherCoder-Preview releases 161K verified coding trajectories achieving 59.4% on SWE-Bench, giving developers unprecedented training data for AI agents. Together AI has released ...

Abstract: With Python's ascension as a dominant program-ming language, particularly in the fields of artificial intelligence and data science, the need for comprehensive datasets focusing on software ...

It's February, which means that Spring Training is right around the corner. The A's are entering 2026 with their sights set on making it to the postseason for the first time since 2020 after finishing ...

I'm a Fitness & Nutrition writer for CNET who enjoys reviewing the latest fitness gadgets, testing out activewear and sneakers, as well as debunking wellness/fitness myths. In my free time I enjoy ...

Abstract: In the realm of deep learning, the veracity and integrity of the training data are pivotal for constructing reliable and transparent models. This study introduces the concept of Trustworthy ...

Amazon plans to close its Fresh supermarkets and Go convenience marts, and convert some locations into Whole Foods stores. It marks the latest pivot in Amazon's nearly two-decade effort to grab a ...